{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jacquelineburos/miniconda3/envs/python3/lib/python3.5/site-packages/Cython/Distutils/old_build_ext.py:30: UserWarning: Cython.Distutils.old_build_ext does not properly handle dependencies and is deprecated.\n", " \"Cython.Distutils.old_build_ext does not properly handle dependencies \"\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jacquelineburos/.local/lib/python3.5/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n", " \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n", "INFO:stancache.seed:Setting seed to 1245502385\n" ] } ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "%matplotlib inline\n", "import random\n", "random.seed(1100038344)\n", "import survivalstan\n", "import numpy as np\n", "import pandas as pd\n", "from stancache import stancache\n", "from matplotlib import pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "model_code = survivalstan.models.pem_survival_model_randomwalk" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/* Variable naming:\n", " // dimensions\n", " N = total number of observations (length of data)\n", " S = number of sample ids\n", " T = max timepoint (number of timepoint ids)\n", " M = number of covariates\n", " \n", " // main data matrix (per observed timepoint*record)\n", " s = sample id for each obs\n", " t = timepoint id for each obs\n", " event = integer indicating if there was an event at time t for sample s\n", " x = matrix of real-valued covariates at time t for sample n [N, X]\n", " \n", " // timepoint-specific data (per timepoint, ordered by timepoint id)\n", " t_obs = observed time since origin for each timepoint id (end of period)\n", " t_dur = duration of each timepoint period (first diff of t_obs)\n", " \n", "*/\n", "// Jacqueline Buros Novik \n", "\n", "\n", "data {\n", " // dimensions\n", " int N;\n", " int S;\n", " int T;\n", " int M;\n", " \n", " // data matrix\n", " int s[N]; // sample id\n", " int t[N]; // timepoint id\n", " int event[N]; // 1: event, 0:censor\n", " matrix[N, M] x; // explanatory vars\n", " \n", " // timepoint data\n", " vector[T] t_obs;\n", " vector[T] t_dur;\n", "}\n", "transformed data {\n", " vector[T] log_t_dur; // log-duration for each timepoint\n", " int n_trans[S, T]; \n", " \n", " log_t_dur = log(t_obs);\n", " \n", " // n_trans used to map each sample*timepoint to n (used in gen quantities)\n", " // map each patient/timepoint combination to n values\n", " for (n in 1:N) {\n", " n_trans[s[n], t[n]] = n;\n", " }\n", "\n", " // fill in missing values with n for max t for that patient\n", " // ie assume \"last observed\" state applies forward (may be problematic for TVC)\n", " // this allows us to predict failure times >= observed survival times\n", " for (samp in 1:S) {\n", " int last_value;\n", " last_value = 0;\n", " for (tp in 1:T) {\n", " // manual says ints are initialized to neg values\n", " // so <=0 is a shorthand for \"unassigned\"\n", " if (n_trans[samp, tp] <= 0 && last_value != 0) {\n", " n_trans[samp, tp] = last_value;\n", " } else {\n", " last_value = n_trans[samp, tp];\n", " }\n", " }\n", " }\n", "}\n", "parameters {\n", " vector[T] log_baseline_raw; // unstructured baseline hazard for each timepoint t\n", " vector[M] beta; // beta for each covariate\n", " real baseline_sigma;\n", " real log_baseline_mu;\n", "}\n", "transformed parameters {\n", " vector[N] log_hazard;\n", " vector[T] log_baseline;\n", " \n", " log_baseline = log_baseline_raw + log_t_dur;\n", " \n", " for (n in 1:N) {\n", " log_hazard[n] = log_baseline_mu + log_baseline[t[n]] + x[n,]*beta;\n", " }\n", "}\n", "model {\n", " beta ~ cauchy(0, 2);\n", " event ~ poisson_log(log_hazard);\n", " log_baseline_mu ~ normal(0, 1);\n", " baseline_sigma ~ normal(0, 1);\n", " log_baseline_raw[1] ~ normal(0, 1);\n", " for (i in 2:T) {\n", " log_baseline_raw[i] ~ normal(log_baseline_raw[i-1], baseline_sigma);\n", " }\n", "}\n", "generated quantities {\n", " real log_lik[N];\n", " vector[T] baseline;\n", " int y_hat_mat[S, T]; // ppcheck for each S*T combination\n", " real y_hat_time[S]; // predicted failure time for each sample\n", " int y_hat_event[S]; // predicted event (0:censor, 1:event)\n", " \n", " // compute raw baseline hazard, for summary/plotting\n", " baseline = exp(log_baseline_raw);\n", " \n", " for (n in 1:N) {\n", " log_lik[n] <- poisson_log_lpmf(event[n] | log_hazard[n]);\n", " }\n", " \n", " // posterior predicted values\n", " for (samp in 1:S) {\n", " int sample_alive;\n", " sample_alive = 1;\n", " for (tp in 1:T) {\n", " if (sample_alive == 1) {\n", " int n;\n", " int pred_y;\n", " real log_haz;\n", " \n", " // determine predicted value of y\n", " // (need to recalc so that carried-forward data use sim tp and not t[n])\n", " n = n_trans[samp, tp];\n", " log_haz = log_baseline_mu + log_baseline[tp] + x[n,]*beta;\n", " if (log_haz < log(pow(2, 30))) \n", " pred_y = poisson_log_rng(log_haz);\n", " else\n", " pred_y = 9; \n", " \n", " // mark this patient as ineligible for future tps\n", " // note: deliberately make 9s ineligible \n", " if (pred_y >= 1) {\n", " sample_alive = 0;\n", " y_hat_time[samp] = t_obs[tp];\n", " y_hat_event[samp] = 1;\n", " }\n", " \n", " // save predicted value of y to matrix\n", " y_hat_mat[samp, tp] = pred_y;\n", " }\n", " else if (sample_alive == 0) {\n", " y_hat_mat[samp, tp] = 9;\n", " } \n", " } // end per-timepoint loop\n", " \n", " // if patient still alive at max\n", " // \n", " if (sample_alive == 1) {\n", " y_hat_time[samp] = t_obs[T];\n", " y_hat_event[samp] = 0;\n", " }\n", " } // end per-sample loop\n", "}\n", "\n" ] } ], "source": [ "print(model_code)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sim_data_exp_correlated: cache_filename set to sim_data_exp_correlated.cached.N_100.censor_time_20.rate_coefs_54462717316.rate_form_1 + sex.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sim_data_exp_correlated: Loading result from cache\n" ] }, { "data": { "text/html": [ "
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agesexratetrue_tteventindexage_centered
059male0.08208520.94877120.000000False04.18
158male0.08208512.82751912.827519True13.18
261female0.04978727.01888620.000000False26.18
357female0.04978762.22029620.000000False32.18
455male0.08208510.46204510.462045True40.18
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" ], "text/plain": [ " age sex rate true_t t event index age_centered\n", "0 59 male 0.082085 20.948771 20.000000 False 0 4.18\n", "1 58 male 0.082085 12.827519 12.827519 True 1 3.18\n", "2 61 female 0.049787 27.018886 20.000000 False 2 6.18\n", "3 57 female 0.049787 62.220296 20.000000 False 3 2.18\n", "4 55 male 0.082085 10.462045 10.462045 True 4 0.18" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d = stancache.cached(\n", " survivalstan.sim.sim_data_exp_correlated,\n", " N=100,\n", " censor_time=20,\n", " rate_form='1 + sex',\n", " rate_coefs=[-3, 0.5],\n", ")\n", "d['age_centered'] = d['age'] - d['age'].mean()\n", "d.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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B0BpBfGSQhgX0kE7kYhT1mhhFvSZGUUDtg3Y4Cvhb3nO4PW6iA6P47Wm3E2Dz/tKnjS1O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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_observed_survival(df=d[d['sex']=='female'], event_col='event', time_col='t', label='female')\n", "survivalstan.utils.plot_observed_survival(df=d[d['sex']=='male'], event_col='event', time_col='t', label='male')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:prep_data_long_surv: cache_filename set to prep_data_long_surv.cached.df_33772694934.event_col_event.time_col_t.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:prep_data_long_surv: Loading result from cache\n" ] } ], "source": [ "dlong = stancache.cached(\n", " survivalstan.prep_data_long_surv,\n", " df=d, event_col='event', time_col='t'\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, 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agesexratetrue_tteventindexage_centeredkeyend_timeend_failure
059male0.08208520.94877120.0False04.18120.000000False
159male0.08208520.94877120.0False04.18112.827519False
259male0.08208520.94877120.0False04.18110.462045False
359male0.08208520.94877120.0False04.1810.196923False
459male0.08208520.94877120.0False04.1819.244121False
\n", "
" ], "text/plain": [ " age sex rate true_t t event index age_centered key \\\n", "0 59 male 0.082085 20.948771 20.0 False 0 4.18 1 \n", "1 59 male 0.082085 20.948771 20.0 False 0 4.18 1 \n", "2 59 male 0.082085 20.948771 20.0 False 0 4.18 1 \n", "3 59 male 0.082085 20.948771 20.0 False 0 4.18 1 \n", "4 59 male 0.082085 20.948771 20.0 False 0 4.18 1 \n", "\n", " end_time end_failure \n", "0 20.000000 False \n", "1 12.827519 False \n", "2 10.462045 False \n", "3 0.196923 False \n", "4 9.244121 False " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dlong.head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:Step 1: Get compiled model code, possibly from cache\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:StanModel: cache_filename set to anon_model.cython_0_25_1.model_code_15125303112.pystan_2_12_0_0.stanmodel.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:StanModel: Loading result from cache\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:Step 2: Get posterior draws from model, possibly from cache\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sampling: cache_filename set to anon_model.cython_0_25_1.model_code_15125303112.pystan_2_12_0_0.stanfit.chains_4.data_89490385305.iter_5000.seed_9001.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sampling: Starting execution\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sampling: Execution completed (0:11:49.722646 elapsed)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:stancache.stancache:sampling: Saving results to cache\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jacquelineburos/miniconda3/envs/python3/lib/python3.5/site-packages/stancache/stancache.py:251: UserWarning: Pickling fit objects is an experimental feature!\n", "The relevant StanModel instance must be pickled along with this fit object.\n", "When unpickling the StanModel must be unpickled first.\n", " pickle.dump(res, open(cache_filepath, 'wb'), pickle.HIGHEST_PROTOCOL)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jacquelineburos/miniconda3/envs/python3/lib/python3.5/site-packages/stanity/psis.py:228: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " elif sort == 'in-place':\n", "/home/jacquelineburos/miniconda3/envs/python3/lib/python3.5/site-packages/stanity/psis.py:246: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " bs /= 3 * x[sort[np.floor(n/4 + 0.5) - 1]]\n", "/home/jacquelineburos/miniconda3/envs/python3/lib/python3.5/site-packages/stanity/psis.py:262: RuntimeWarning: overflow encountered in exp\n", " np.exp(temp, out=temp)\n" ] } ], "source": [ "testfit = survivalstan.fit_stan_survival_model(\n", " model_cohort = 'test model',\n", " model_code = model_code,\n", " df = dlong,\n", " sample_col = 'index',\n", " timepoint_end_col = 'end_time',\n", " event_col = 'end_failure',\n", " formula = '~ age_centered + sex',\n", " iter = 5000,\n", " chains = 4,\n", " seed = 9001,\n", " FIT_FUN = stancache.cached_stan_fit,\n", " )\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " mean se_mean sd 2.5% 50% 97.5% Rhat\n", "lp__ -299.460663 1.927055 26.352078 -347.240375 -301.398746 -241.969884 1.024231\n" ] } ], "source": [ "survivalstan.utils.print_stan_summary([testfit], pars='lp__')" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " mean se_mean sd 2.5% 50% 97.5% Rhat\n", "log_baseline_raw[0] -2.209853 0.034962 0.734208 -3.565018 -2.224091 -0.741190 1.002523\n", "log_baseline_raw[1] -2.304993 0.034925 0.723383 -3.649586 -2.321536 -0.871592 1.002825\n", "log_baseline_raw[2] -2.421687 0.034973 0.714164 -3.764226 -2.433190 -0.983894 1.003320\n", "log_baseline_raw[3] -2.557284 0.034873 0.708698 -3.931550 -2.562017 -1.136746 1.004044\n", "log_baseline_raw[4] -2.689425 0.035061 0.709934 -4.057182 -2.689985 -1.251838 1.005177\n", "log_baseline_raw[5] -2.813966 0.036343 0.717710 -4.206290 -2.816301 -1.371240 1.006522\n", "log_baseline_raw[6] -2.932749 0.037675 0.727616 -4.344685 -2.932417 -1.462858 1.007257\n", "log_baseline_raw[7] -3.040481 0.038382 0.735284 -4.483020 -3.043742 -1.547476 1.007836\n", "log_baseline_raw[8] -3.142247 0.039402 0.743432 -4.567630 -3.151716 -1.609923 1.008075\n", "log_baseline_raw[9] -3.238616 0.039946 0.751576 -4.693920 -3.248983 -1.687828 1.008705\n", "log_baseline_raw[10] -3.326796 0.040820 0.759294 -4.797918 -3.344459 -1.765842 1.009117\n", "log_baseline_raw[11] -3.405642 0.041976 0.767142 -4.887675 -3.406443 -1.848447 1.010037\n", "log_baseline_raw[12] -3.476969 0.042417 0.772868 -4.974952 -3.463678 -1.899816 1.011136\n", "log_baseline_raw[13] -3.542576 0.042853 0.779642 -5.057991 -3.535582 -1.934427 1.011025\n", "log_baseline_raw[14] -3.604198 0.043344 0.781402 -5.132122 -3.598852 -1.993619 1.011672\n", "log_baseline_raw[15] -3.663888 0.043606 0.782475 -5.185663 -3.665758 -2.050194 1.011964\n", "log_baseline_raw[16] -3.717827 0.043542 0.781329 -5.245613 -3.724172 -2.108292 1.012058\n", "log_baseline_raw[17] -3.772938 0.043684 0.780217 -5.290728 -3.768361 -2.185687 1.012156\n", "log_baseline_raw[18] -3.824103 0.043831 0.782841 -5.319356 -3.824092 -2.233574 1.012159\n", "log_baseline_raw[19] -3.871339 0.044298 0.787467 -5.402883 -3.869259 -2.247521 1.013038\n", "log_baseline_raw[20] -3.918442 0.044859 0.791091 -5.452807 -3.922432 -2.303807 1.013615\n", "log_baseline_raw[21] -3.964726 0.044814 0.791565 -5.483688 -3.960975 -2.337881 1.013660\n", "log_baseline_raw[22] -4.004692 0.045198 0.793219 -5.552627 -4.003068 -2.386289 1.013792\n", "log_baseline_raw[23] -4.041575 0.045697 0.795442 -5.578184 -4.045911 -2.413009 1.013758\n", "log_baseline_raw[24] -4.074303 0.045213 0.792187 -5.603216 -4.069042 -2.451408 1.013534\n", "log_baseline_raw[25] -4.106607 0.044978 0.794469 -5.661048 -4.102975 -2.479499 1.013116\n", "log_baseline_raw[26] -4.139667 0.044627 0.795811 -5.689198 -4.140985 -2.492719 1.012234\n", "log_baseline_raw[27] -4.172902 0.044663 0.796452 -5.717805 -4.172481 -2.519271 1.012157\n", "log_baseline_raw[28] -4.203341 0.045068 0.796062 -5.748268 -4.198260 -2.547859 1.012530\n", "log_baseline_raw[29] -4.225360 0.045499 0.795909 -5.764089 -4.225801 -2.574596 1.013533\n", "log_baseline_raw[30] -4.244890 0.045181 0.796781 -5.799618 -4.244009 -2.570214 1.013194\n", "log_baseline_raw[31] -4.260373 0.045487 0.796995 -5.841010 -4.259303 -2.602916 1.013388\n", "log_baseline_raw[32] -4.272444 0.045207 0.794659 -5.828616 -4.266997 -2.627563 1.013189\n", "log_baseline_raw[33] -4.284438 0.045231 0.793800 -5.840478 -4.281586 -2.627900 1.013242\n", "log_baseline_raw[34] -4.295121 0.045215 0.793523 -5.857232 -4.285296 -2.668900 1.012945\n", "log_baseline_raw[35] -4.302797 0.045207 0.793372 -5.856606 -4.298698 -2.686706 1.012605\n", "log_baseline_raw[36] -4.306231 0.045391 0.791416 -5.829722 -4.300618 -2.678529 1.013334\n", "log_baseline_raw[37] -4.311709 0.044862 0.791156 -5.867720 -4.301373 -2.673927 1.012985\n", "log_baseline_raw[38] -4.315251 0.044282 0.789655 -5.853074 -4.303313 -2.701019 1.012537\n", "log_baseline_raw[39] -4.317223 0.044279 0.788357 -5.855086 -4.306719 -2.703429 1.012997\n", "log_baseline_raw[40] -4.318599 0.044355 0.788473 -5.861453 -4.314772 -2.702005 1.013257\n", "log_baseline_raw[41] -4.323167 0.044185 0.784199 -5.835683 -4.319204 -2.697464 1.013198\n", "log_baseline_raw[42] -4.328650 0.043971 0.781649 -5.863121 -4.322219 -2.714264 1.012836\n", "log_baseline_raw[43] -4.331192 0.043861 0.780927 -5.868070 -4.329463 -2.730403 1.013090\n", "log_baseline_raw[44] -4.335847 0.043651 0.778409 -5.853302 -4.326692 -2.744025 1.012835\n", "log_baseline_raw[45] -4.340444 0.043448 0.779641 -5.840163 -4.333709 -2.749720 1.012509\n", "log_baseline_raw[46] -4.345613 0.043007 0.780068 -5.842220 -4.334844 -2.755490 1.011630\n", "log_baseline_raw[47] -4.347367 0.043069 0.780010 -5.863569 -4.332582 -2.765254 1.011127\n", "log_baseline_raw[48] -4.348232 0.042741 0.777596 -5.871084 -4.335639 -2.797367 1.011092\n", "log_baseline_raw[49] -4.350068 0.042516 0.778174 -5.881712 -4.336420 -2.780095 1.010770\n", "log_baseline_raw[50] -4.349913 0.042314 0.779078 -5.911215 -4.336043 -2.767829 1.010429\n", "log_baseline_raw[51] -4.349424 0.042508 0.776856 -5.900156 -4.341521 -2.785123 1.010256\n", "log_baseline_raw[52] -4.348648 0.042346 0.777374 -5.876766 -4.337048 -2.768534 1.010006\n", "log_baseline_raw[53] -4.347363 0.042586 0.779449 -5.891009 -4.328330 -2.775428 1.009957\n", "log_baseline_raw[54] -4.350424 0.042582 0.778207 -5.886586 -4.336106 -2.773579 1.010369\n", "log_baseline_raw[55] -4.347044 0.042418 0.778689 -5.890802 -4.328797 -2.769821 1.010304\n", "log_baseline_raw[56] -4.348723 0.042249 0.776741 -5.864335 -4.333924 -2.775254 1.009930\n", "log_baseline_raw[57] -4.345926 0.042328 0.777045 -5.881462 -4.329267 -2.749512 1.010466\n", "log_baseline_raw[58] -4.345933 0.042102 0.777455 -5.886590 -4.327736 -2.743760 1.010318\n", "log_baseline_raw[59] -4.341379 0.042107 0.775280 -5.856886 -4.317274 -2.750124 1.010689\n", "log_baseline_raw[60] -4.337038 0.041876 0.774429 -5.838974 -4.321691 -2.772782 1.010865\n", "log_baseline_raw[61] -4.332934 0.041668 0.771707 -5.838879 -4.315197 -2.757346 1.011286\n", "log_baseline_raw[62] -4.331704 0.041587 0.770194 -5.839632 -4.316723 -2.752762 1.010277\n", "log_baseline_raw[63] -4.331096 0.041297 0.768172 -5.833093 -4.316674 -2.751622 1.010207\n", "log_baseline_raw[64] -4.330946 0.041052 0.766915 -5.803078 -4.326373 -2.758759 1.010366\n", "log_baseline_raw[65] -4.334928 0.041518 0.767797 -5.795742 -4.324844 -2.750788 1.010279\n", "log_baseline_raw[66] -4.337154 0.041747 0.766377 -5.830106 -4.329792 -2.765804 1.010298\n", "log_baseline_raw[67] -4.341754 0.041943 0.767691 -5.835078 -4.344604 -2.768967 1.010708\n", "log_baseline_raw[68] -4.350062 0.042011 0.770077 -5.852077 -4.336741 -2.776915 1.010704\n", "log_baseline_raw[69] -4.356494 0.042362 0.773027 -5.904633 -4.337998 -2.797574 1.010953\n", "log_baseline_raw[70] -4.366050 0.042435 0.777850 -5.899477 -4.346893 -2.794871 1.010286\n", "log_baseline_raw[71] -4.375275 0.042612 0.778763 -5.913698 -4.357084 -2.799853 1.010616\n", "log_baseline_raw[72] -4.388638 0.042797 0.780964 -5.930415 -4.370979 -2.796530 1.010651\n", "log_baseline_raw[73] -4.400346 0.043051 0.786794 -5.962885 -4.386232 -2.794786 1.010310\n", "log_baseline_raw[74] -4.418921 0.043276 0.794434 -5.998846 -4.402173 -2.820150 1.009907\n", "log_baseline_raw[75] -4.438898 0.043396 0.803697 -6.046008 -4.423531 -2.809893 1.010078\n", "log_baseline_raw[76] -4.458039 0.043689 0.816187 -6.075599 -4.441154 -2.802135 1.009674\n", "log_baseline_raw[77] -4.485210 0.044765 0.837476 -6.172687 -4.468687 -2.803093 1.010143\n" ] } ], "source": [ "survivalstan.utils.print_stan_summary([testfit], pars='log_baseline_raw')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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cRrgFAKRdYPj0ZLIyP+F2LpQX58nrSfyz3kW4RQ4j3AIA0i45mcxlGvIXem2u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\ngJ555ZQiE3EZkrauqtaapRV2lwbMKcM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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_stan_summary([testfit], pars='log_baseline_raw')" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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JpUR39gQAAACaG6UsipayAAAAID1RygIAAACgVZCYAwAAAGmAxLyekpLNKinZkuppAAAA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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_coefs([testfit], element='baseline')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_coefs([testfit])" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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D/31p6EwyzUIIIcSJQz6pT3Ld9VHuC7phpQeCdFRRmCySVza8i71oCDdMvA7l\ngBtQUKYNIR7X2BuvZtbc8RS2xS3CcZ11m9t7KSc0g2o1Ssv2FhKaQSiqEY3rrN/RRG1TGLDwuDJ/\nfS+cM6pLodybTLZklIUQQgjRmRTJ4rCZbW0vwjGNtdvaN9+lFEVno/A7NFPlreDfWL7mWaY6Lma2\n61N4qr0AxN25OIqKcBTmJh8UTmDzBJk9ZSj5OU6CERVlSx0LKssIRVVqDoa4cM5I8nNcGf2UAUJR\njXXbD6Yn+mWcq2SYhRBCCHEEpEgeRI6m00VHxT4Pp00ZQk1jiDkVXTffnRa5Eo9SwKrEEyyvfxkD\njS36i2zVX6YxdjVfnnIzNlsBuZ6uv375Oc6sfZIddhv5OS58udmmBR4bxyqWIYQQQojjT4rkQaQv\nV1UL8z3kepz48txZi9WJvmlcO/k3/GvTataoT/JS1TOYGLxU/TQvVz/D7NxzKB96K2eMOBUAPaJh\nxuPogSC67iTYEkULBGitcxOK6RgJlVA0mUPunEnu3FP5aPLJPemvWIYMKRFCCCEGHvlEFkck3+tk\nXLmP/EMUo+WecdxT8b+cv2s6f3e9y1prGRo6ayPLWPT2Mh4oup4rc84kqCnE/S6CgR1EFHi7yUkg\nnOCd/QdQTQiHFNZurSc3x53RTxnI6KnscSU3KGbLJ6f01Yp6X5ENfUIIIcTAI5/Iot8pLheuSRfy\nKT7C/ZMVluz+LU/ueRLVivPj8FNcfO51+MxiPFsb8U0rBcC5sZ5iVWXB9DJCMZ2GtQeYM60sa1/l\njj2VFUXpNp+cIjllIYQQQhyKFMniqATCapdjqfhDql1bKKoSU1ygQF7+CG4+9UcMs87hf/d8iaAW\n5O5N9/HTM3+DzRPCUeADQHH7sbvdFJUPwR5Rsbub0oNLsumYXx6oJNMshBBCnDikSB6E+mK0c1uD\nC9bvbOxyW1w12HMgSH1LlGhcJ6Hq1DSGAVixpQ6Py8GE3FP4XMVX+PO23/HC7ue4bPQi7Mw4onOJ\nxLSMTHLHf08W7NkyzMlj/ZVfzqanTLOum+yqDTB9XLFELoQQQogBQD6NB5HUYBGHTTnquEFRvptz\nZo1AybIoGoyoJFSdhG5SlO9hzpRSQMGuxTljdA55OS4cdoVz7Lfx76p/URer596V3+UHI/6GHsgH\nwErEcZg6RiCAFVVxavGs5xGOabyzqS6dSQYy8sm6bmbJMOtt90n2Wj592jC27ms9rhll3TTZtT/A\nxJEFUiT6DxHGAAAgAElEQVQLIYQQA4B8Gg8iqcEinYd/HKmi/OzRB5tNoaTAS0swjstpJz/Hhcdm\nMGzPOuyJAiyXHa3tvrd7PsZ3Yo9RH69nd9XbzA2NAUBrdjIk3kQsthtdM5hQ24KlVnR5rVT2uLwk\nlwWVZW1HrYw+yp0lV5UVZk4oYUeNH003JaMshBBCiAxSJIs+58txsXBmOa+sqkofsxxOGqfMZcbM\nMgo6FK/nRivguccACJaY+OafCSQ37vnN4XhPHYERVdmtVnGaq/tVXrfTli6KU/nknvooe1z2Yxaz\nEEIIIcSJR4pk0e+S8QsTFBcRhxe7o73Yzcsfi9vuIWHEOZioIRJNYKKgaiYOe/tz2E0DKxhAdxsZ\nz61HNKxEHDuZq8CRmEZ3Upnk5MbC9g2Gh+qz3F+t42w2hTyvi0g885ylf7IQQghx/MgnrzgivSkY\nLQsUBbbsbaamMQS0b9zTdRN/JEFhrptix3DqjD3saHyDjf8ajVcpIqjnM9wRIpHYg57QGXegGX1N\nHf5OEYqgpqA1OylJNGPNH4ficqFqBu9sqkv3TO4slVNev7OJ2sYwCdWkriVCKqMM2fss91fruNTK\n+7L1+zOOS/9kIYQQ4viRT95BKLWBz+3MXkT2Rm8KRq/bwaxJQ7ApSttKMiyoLMeX6yIYUVmxpZ55\n04YxKzqDuqo97HDu5Zu2+1k06tNMNa9hyvT5DC3OYX9jmL3xPcyaO57Czn2SI1oymsEolLY4hmlZ\ngMLsKUPJz+k+UpE8hzpmjC9h8x57r/ssCyGEEOLkJ0XyIJTawHcspHLBbpcNUDKywh6XHV+ui/vO\n/jHaMo1/17xE3IyxtOr3uJQn2ZP/FW4ruw3FV0DcnYviK8BRmJ/x/A5HAsXtx6RrsZ6f4+wxl5w8\nB0dyY2HbuQxEcVVnW1VUYhdCCCHEMWQ73icgTk6HMzhjZP4oHj3vj/z3xKf4yOjLAVCtOL/f+ihz\nn5jBzzbdS8RsOepzCsc0/OFE+p/OQ0+CETV9LBhRk/cLJWgJxglFuw5NOVzBqMob62oJZnmunt4v\nVTPZVt1KQjO63CaEEEKI/iHLUqJfdByckWo5l+iwOa5jMZr6c6l9EvfP/TVfnvQB/7vyx2yILiOm\nx1i689c4WIJr0818f+4tGa+T2riX6qkMYEvEMd3ejPuFYxr/XluTcSyuGuyrD6EbFnFVZ/XWBnTT\nyuizbLMpeL0uYjGV2VOGHtV70lNEpadBI0IIIYQ49qRIFv0uNZ2vriWS3riXKlBBwWFTOOiP4g+r\ngIWi53Nj7SUE8+fwtON1Viob0VH5xc6fMrvVyTz31PRzpzbupXoqAxTWRWmpmJdxDqmMcceccrJA\nt9I56cxjyT7LDrsNHHbeXF2FITllIYQQYtCQIln0uc6dL4ry3ZwxvRxQ0sVnx2IU4K3395PrdbGg\nshyAVeZCzplYzOU5N7ChYQtfW/1FImaAB7Rnee3C63HY2n51Uxv32noqA/g31oM9+6bEzjnlzj2V\ns7WOsyyytorr7FiOuO5IWsUJIYQQfU8+UUWfyxYrKMhr3xzXvnHPkV7B7bixD8CZl0dBeSmFeW5m\nF5zJx2pu5on9P2JbYDt/rv071838BtC+cc/Awl5QkHx9t/+IzrvziOtU3AKbjb11IVTNTMcyUiOu\nO8vWOu5IpXLKyiFy3dIqTgghhOh78okqjsjRtpHruFGtN32HFxZ9jA3xF9jSvJEHVt/H5KIKFo44\n+4heuzudR1yn4haW3U48rjJ/WvejrkNR7Yhbx3XXczqVU+6rMeJCCCGE6D0pksUROdI2coFwe1Rh\n9pRSTNNqm8hngKKkowwdYw2hqIZNsXP3vAe49uVLCalBPvHCVZTnDufysdcwNDyHkfax6Y179lgE\n3eZADwTR9eSqrh7RMOPxjGNGRMWWiHU5x9SI68I8Nw5HskjuzajrI9VfQ0qEEEIIceSkSBbHRGrz\n3vqdjV1ui6sGVQ0hEpqJXVFwOJS2yEP7BDyAOWXzuG/hgzy4+scE1QB1kQP89oNfAjDGLGd780Iu\ncZ9OYYObOs8QgtHd4Ey+cFBTiPtdBAM70sfiqkFxQwjrtNFA3xS/vRmH3TnTnDoeietZi/DDaad3\nvEguWgghxMlGPs3EMVGU7+acWSNQstR5yf7ECeqao5w6eQj5OS46bvKD9k1x1838Bp+f9mVer3qV\nf+z4K/+uehXN1Kiy1fFw5O8sjvyDSXmnMjvvEs6ecy2FhcXJF4loeLY24ptWSmFuciU5EFFp+bAx\nPanvaPV2HHbnTHNc1dNfCq5YMK5LpvlEaA8nuWghhBAnG/k0E/0ioRm8u6mOs2cNT+dsi/K7X611\nO+3Y7Tbyc1z4crtu8uvI4/Dw0QlX8dEJV7GvuZ7/W/YH1gZfYk9sIxYWOxLvsyPxPs+8+hCXjruM\nG2d9i7EF07F5QjgKfDjantPuSGC6w312zb0dh91ZMKISjmlUN4TxhxPHpUOGEEIIITJJkSz6hWVZ\nhGNar3K2NptCjsfJkYQJCt1FLCz8OAsLFzFtmsWLe5/myQ+e5KBWTcKI89yuZ/jXnhe4a8b/Y1j8\ngi6ZZEc0hBEIoOuu9GASe5YR14ejN+OwO3Pa7ai6IblkIYQQYoCQIln0ObfTzsQRheyrD/bq/r4c\nF6dPG8buA4GsG/d6EoyoqJqBy2ljdP5Ybpx5O+ODVxLe/nc2+zbzfPxdomacezb+gIW2t6n0fwra\n4hBx1aCoPkgs6MNy2dODSUoSzVjzx9FXOeX+NpAyy3FVZ1tVVLLJQgghTnjyKSb6nNftYOLIAmob\nex9lMNt29m3Z2wJYXTbu6bqJP5KgMNfdJc97oDnC2LJ8HHZbsgWb00XB5EXcPfMmrtf28uXlX2Nf\nuIp3zde41Qzw+9N/RYmnhEBEpXVLHRWV5RTkutoHkzCqz3LKKeGY1m17uGBEJaEbGEayy0W2lm89\nDSoZSJllVTMlmyyEEOKkIJ9iYkAozHMzZlh+egJf5417wYjKii31zJs2LKNXcXK1WeGsU4aT53Wm\nC0zD5cVeUMD0vNN5textvvLyl3ivbhlrmldx2etXseTSJxlVMAU9J4y9oABHnjs9mMQ8yrhFZ+GY\nxr/X1nR7u66bROMawajK2m2N7KxNtrJLaAYHmiIMH5KL22nv00ElQgghhOiZFMniuMg2QMPrbp/A\nl23jXneb+TwuO7me7n+VizzF/OaCv3DLv27j9da/UBOq5qPPXMRDcxbjik7pkkl2mHr6mOWwYdlt\nWfsp91ZqBbmnDX37G8M8+84e5lSUMqI0L/ketX0xmDG+hB01/iMaVCKEEEKIIyNFsjguOg/QyDaB\nr+PgkWQvYb3bHsMdB49kY9dNvtE0n7MKc/lhaAlRPcpN/7me682PMyt4SUYmeUi8iVhsN1aHsdRF\n+1qwZo3iaHLKPW3oC0ZUHG3dPTp/MTgRVo8PNUJb+igLIYQ40cinlRgQOuZqW0PJyETHwSNx1WBf\nfQjdsIirejqb3LHHcMfBI503sSkuFy1T5/GJqZczI3IxX17+NfxqgMdsf8MsLOHuOd+DqJ7MJJvD\n8Z46goJcF/a2leTWldVHnVPuadBIKKqiG2ZGJjn1BaChJcqOGj/TxhT1y8S/vnCoEdrSR1kIIcSJ\nZkB9Wi1dupTf/e53NDU1UVFRwV133cXMmTO7vf+SJUt46qmnqKuro6ioiIsvvpjbb78dVx9vuhKH\nz+20UzG6CLcz+2CNnmQbPJJcKbaYMb6EzXta0tnkVCa5Y345EtdZ82FDl+c13cmc8pkjLuZfpW/w\nyReuoTZczeM7H6ORJu6d9xCK24OB1SGnnBxLbbq7Tgo8HIcaNBKOaaiayfqdTelMcuoLQDCictAf\nY+UHDQwvzTshVpaFEEKIE92AKZJfeuklHnjgAX74wx8yY8YM/vjHP/K1r32NV155heLi4i73f+GF\nF3jooYd44IEHmDVrFvv27ePOO+/EZrNx5513HocrEB153Q4qxhQd8eOzDR7xuBzk53QdNNLT4JHu\nTCqazN8ufZlPv/gJqmJbeWbn33m39h3O8FzNWbmXYwQKMzLJ9g79lLMxIiq2RBzT7c16+6EGjSTj\nFgoLKsszNiuCwrjyfOqaIwCSSxZCCCGOkQFTJC9ZsoRPfvKTXH311QDce++9LFu2jKeffprrrruu\ny/03bNjA7NmzueyyywAYPnw4V1xxBZs2bTqm5y2OXrZNfMfCEO9QvjP+dzwb+H+8WfsqB2P1PB/7\nFa+2/IH3m8/my75LGOUqTWaS9zYT8+djdbMSHFcNCuuitFTM6/E1e8ole1yOrJsV87xO7Pbj3wO5\nNwZSz2YhhBDiaAyIIlnTND744AO+/vWvp48pisKCBQvYsGFD1seceuqpvPDCC2zatImZM2dSU1PD\n22+/nS6yxYmj8ya+bA61MazrJr/MYSTZjoWiGm6bl0fP+xNrm5fx8Lqfs6ZhJXElwZOx1/lr/E2u\nHHMFN8z4Bq2usUyZVpbsp5zt9SMq/o31YD+8eEmqf3K2jYmpcw7HNAzDIqFlnn+qd/Lx+pKRTU89\nm3XdZFdtgOnjiiWXLIQQYsAbEJ9Ura2tGIbBkCFDMo6XlJSwd+/erI+54ooraG1t5TOf+QwAhmHw\nqU99iuuvv77fz1cce91tDGubQdJpk1/7Zj6HzYY/ksDjdFDbFKbzBj8Al8PBRWMvZd6Q83l82Uu8\n2foEG8NvYFgGz+57nmf3PU9F3lxuG3UrHy2/FLutayFsdyQw3f7DuqaO/ZNTGxNBSeeWdd0kHFPZ\nsreFQETFAlZsqc/INV84Z1SvvmQMBLppsmt/gIkjC6RIFkIIMeAN6E8qy7JQlOwrh6tWreLxxx/n\n3nvvZebMmVRVVXHfffdRWlrKjTfe2OvXsNmUI/pPw3a7LeN/B4O+vOZcr5Pp44rJ9TpJqAY2m4LD\nbsuYppeNw27LuG9pkZfzZ4/E1uH3JBBRsdnqOHNGOQDvba5j5oQSXLvtnDmjPGM12G5PrlCnnntc\n7gy+mvsAM6YrLN35G5Zu/RMRLcK28Bquf/MzFL5XxMKRZ3H2yHM4a9Q5TC6agqIo6fOCrtfR0202\nm8KciqFYFthscOaM4V1Wq2sbw9Q2hhk+JI+zTknenhw8cjDre3K0+uN3u6f3YCCQv8+Dg1zz4DDY\nrnmwXe+xNCCK5KKiIux2O01NTRnHW1paKCkpyfqYxYsXc9VVV7Fo0SIAJk2aRDQa5Z577jmsIrm4\nOLfbQrw3fL7sG7VOZn1xzUXA8LICAFqCcbxeFwWFORT5PD0+zrLbu9y3qCg34z4twThbq/2MHlEI\nwNZqPyPKCqhpijJ6RCHF3byGZbfj8SQ31VWOmsjj0x/l/ot/xM/ee4Rfrl6MX2vCn2jlxd3/5MXd\n/wSgPK+c88edz+llZxFVxjKUYnJIkGu1/06plooTEyzIsdT0baql4sKgzAvhuEoOJj6fl4JOmxb9\nMR2H3Y7bZU/fbtntYEt23rDblV6/f4ejL3+3bU4HpcW5hGNaxnlG4xq7awNMGFlAjuf4d+2Qv8+D\ng1zz4DDYrnmwXe+xMCCKZKfTyfTp01m5ciUXXHABkFxFXrlyJZ///OezPiYWi2GzZX5rstlsWJbV\n4wp0Zy0tkSNeSfb5vASDMYxB0nGgv645EErgD8R44e1dnHvqiIyx052FIipOG4SCMRTD6Pb5YjGV\ngD8KQCymEgzG0sd6elw8rgFW+n4Ou5db532XUeHLMEs+YF3TeyyveZsdrdsBqAvXsXTzUpZuXgrA\nMKuEF/ZO50zvdE73TKXUXkhQUwg0Ja+p2r8NvzMZiwhqCq2tLrYd+IB1rQ78YZWIYeH1ZhbJ4ZhG\nLKFRVRfk5ff24HHZiasGe+uC6fO1KUqP13Y4juTnHIyorP6wgXlTh3X785s7uZQ336/NOE9/KMHq\nLQfIc9kozNLR5FiRv89yzScrueaT/5oH2/X2lc4LbNkMiCIZ4Etf+hLf+973qKysTLeAi8fjXHPN\nNQDccccdlJWVcdtttwFw/vnns2TJEqZOnZqOWyxevJgLLrjgsFaGTdM6qiynYZjo+uD6pezra9YN\nE8NMbl5TNaPH585xOzh31ojk47q5n26YmKZFcyCOoiRXK/2hONG4Tksw3m0btWBEJZ7QcTlt6B2v\n0W7HjpPzRl7GooqPAdAQqefd/ct5p/Zt3tn/NjWh6uRxpZlnY8t5NrYcgCkFk5lTPB930VQmek4l\n77RJ+HKTK6ZmRMO9tRHP2EIcO5sp1A3OmNH1S0IwoqJpBqAwv0N/aNM0qRxXzKbdTZht192XP5fD\n+TmrmoE/lOjx55f6uXQ8z2zHjif5+zw4yDUPDoPtmgfb9R4LA6ZIvuyyy2htbWXx4sU0NTUxdepU\nfvvb36Z7JNfX12Pv0DngxhtvRFEUHn74YRoaGiguLub888/n29/+9vG6BDFAdNzMl9oQl1BN6loi\ndNzMl5ralxJXdQ40Rxhblo/jENmuYbllLJp8LYsmXwvA5rod/HbFc+yIrqVaf5/GWDIvvD2wg+2B\nHQAo2Hjf/WnuO/s+ijzFOBwJbJ4QDl8+ijuC02112+/Z7bIDSqf+0A4ZLCKEEEL0kwFTJAN89rOf\n5bOf/WzW2/70pz9l/Nlms3HTTTdx0003HYtTE/3I7bQzcUQh++qDffJ8HSf2ZU7qs7OgsgxIdolI\nTe1LSQ3vOOuU4YddfI7KH8MZhVdzRuHHuHjeKA5q+3h3/9u8U7ucd/cvJ6gGsDD5x66lvFXzCvee\ndjfnlV6OGY+jB0NYiTgOU886sCQ1qCRud6VbwKVaxoWiKgnVAEXJaA/XWapdnBBCCCF6Z0AVyWJw\n8rodTBxZQG1juM+es+PEvs6T+pLHsk/p87js5HqO7q+FoihMKa5gSnEFX53xdZqa/Dy99BGec61g\nnfUOzYlmvrnyFk53/YaPWF9jQnMJWsDBkHgTsdjuLgNL4qqB90CcHQWTWeGwpzPJ++pDJDST/U0R\nCvPcrN7a0GPXiAvnjOr3Qjkc01i3vTFrz+buBo1I/2QhhBADkXwiiRPCkQ7MONQQkmPB4fFSNOmj\nfIEr+Ub5bn60+b/ZF65ilbqF95U7aSm+iYn5V+G3huM9dUSXFnCBiErr2gMQ0Jk5oYThQ3IzVsjd\nTlvGOOvOQlGNddsPHpOR1j31bO5u0Ij0TxZCCDEQySeSOCEc6cCMzkNIAmEVRaHLdDvIPpXPYbeB\n4/Cm6GU9f7cHBYWzJ13K2zMu5mdrf8Iv1/8czUrw6K6HGO15lVtG/Rp7QQGOTqvbdkcCy9UM6OR5\nnRmZ5OQKeddx1kIIIYQ4OlIki0Eh22a+1HQ7XTe7ncpnsyV7EAOH3MzXW16Hl/+afzcXjriSW964\nmd3RjVTHP2Bj+C0+yuQ+eY3+kBqhnU3qC0Yo2vWLRkq2XLTNppDndRGJa/1yzkIIIcSRkiJZDAhu\np52K0UW4nUe/aptNts18CyrL0u3UVmypZ8b4YhwOW/o4JAu7gsIcwqEYXtfR/XWxq7GMjXnjbSO4\nffhjfK/qUoJagNrwxm437tnjEWzG8SskO47QziY1Qnv9jqas478TmsGBpgifumAS5SXtvSl9OS4W\nzixn2fr9/Xn6QgghxGGTIlkMCF63g4oxRYe8X08bww6l82a+zHZq9ozNfanjDoeNIp8Hxei5f/Oh\nKLpG6fY1xMIF6Y15QU1B9buYZI1mHZvZH1hHbMXyrBv3SmpDNBkFWNrxWWlOrSDPnjKU/JzuN/+l\nvnB0/KIBcKApwt66IFoP72Fc1dlWFWVMWb5kk4UQQhx38kkkTihHmk3uqLsuCymBcGYm2bLbCYQS\nPW58C0V7XuW1HE4ap8xlxsyy9o15EQ3P1kZm6Geybu9m9toPYD/9dAp9+ZnnE1FpXl1N1K+hOA/v\ni0Ffy89xHjL7nK1zSE/t6VJUzWRbdStlJTlSJAshhDju5JNIDDrddVkw24LL63c2po+lMsmxmIqq\nGlmHkHTU04hzw+XN2JiXGiZySv582PsrVCvO19fewBOXP4nPXZB+nN2RwPDkYtojR3S9/aG7fHK2\nzY8AoaiKbpiEoirhmCY9m4UQQgx4UiQL0aYwrz23nJLKJAf8UVqC8axDSFIicZ01HzYc1mvaEjFO\nHzaHSu9CtsTe5T/173Dl0xfxxLl/pCwnOfgknUnWEhjBILrbaBswEjuq6z1SPeWTU9nkzj2bA2EV\nf1hl7bZGdtYGMno299SmL5bQqaoPSQRDCCHEMSefOuKEkNrY5+phWEZf6Jhbhk6ZZMPsdgjJkbBU\nleIPV6M1+vh84gZeNg2W2Vay1f8hV7xwGb8uuZ3xzuHpTHKz7iO+th5/jo24alDcEMKqKDvq8zhc\nvc0nd7S/Mcy++gCGaZLQjIxV6M5t+jpKaIZEMIQQQhwX8qkjTgipjX3ZCqmeHOkQkmNBcblomTqP\nEWMK8exs4ePG/UzPeZpHtv+CA0YTn/c/yBPn/onx3mk0r64m0pLAM2cshaW5BCIqLR82Mvo4ZpR7\nk09OCUZU7HYbhmlhWUeeJxdCCCGOFSmSxUmtNxv9DrWR73B13PgHyQIxoZqgZG5gC0ZUooqLqMOD\nZnOiuN3ccvrdjC+fxHff/jatqp8b//Mt/vXRd5OZZCfYfT4chfnYHQlMd9+N8e4LPfVRTmWSVc0g\nodq6ZJb7qge1EEII0VekSBaDXncb+Q5Xx4ElHcVVnZrGEKYJL67Yy9DCHBwOG3FVZ199iISq09TQ\nwpghXpRwkE8Pvxplnsptq75DVXAff9zwS8rjF3XJJDuiIayg67hlkzs6VB/lcExD00wO+mO0hhOs\n2FKPx2VP908ePiSXhTOHH8MzFkIIIXomRbI4ofT30JGj0XFgSUeplWRVN3A57OmNf8nVVIUZo/Jo\n3L6CMe58tFVV+IGLrSHMck1kg7qLx7Y+zP3xfHL14RmZ5KL6IHpzLsUtUazTRgPHbyz1oXLKwYiK\nYZiouomrw8CWYERl2fr9WFYyhtGbFf2Om/kA2dgnhBCiX8inijih9HboyPHSeeNfittlAwXcTlvX\nISYFeeyunI9vaml7D2XgR01FXPHaVYStGH8ufJf5xk145kxIZ5Jbt9QxcnwJLVUBFNfAyFv3lFN2\nu+ygKF3eA5fTDljkeZ29WtHvuJkPkI19Qggh+oUEAcWgE4yqvLGulmD00AMuOurr7HJHpruth3Jh\nYfqfeRPP45pJnwBgdexl/qzdxGv+f4MvD3tBAXpOPoqvANPt7fPzEUIIIQY7WXoRg86RTu072uxy\nQjXAstKb1lKDN0LR7AM4AG495W7er1/PvtAuWq0q/nvNzfxh20NcN/EbDInMxQq6cERDGIEAup59\nNflY9lSOxLJPHkxGTgxU3ezyHiS09vfFYbdlDBo51BeTPK+T808bSY5H/q9MCCFE35JPFiH6WWpD\n30F/DLDSm9ZSG/ciMY2qhhC6bpKXJc97x5i/sPzAc7zZ+DgH7U3sCe3l++vvYJhVwlfrruDU8Exi\nwSIsV/acdrqncj/nllXN4J1NdXiynEdcNdjfFCHX46QxrmW+B3VBwnENRVHw5boyBo1098VE1012\n1QaYPq4462AXIYQQ4mhJkSxOagNho19RvpszppeT0JKrqB03rYHCuPJ86lqinDp5CCNK87I+R+XY\n6xn1xhnkT/iAP1X/hl3BXTQozfw49kdK3GV8fdh1zC2byai80QzzDMVua7/eVE/l/s4tJ8d6K1k3\n7yWv1WLG+BI272nOeA+CUY26pggVY4o40BTpto1cR7ppsmt/gIkjk+O7ZfOeEEKIviafKOKkNlA2\n+hXkudoKdavLxr08rxOHPRkr6G7TWzCiYrhyuWzK57hu4fU89cHf+cnqBzmQ2E2zXs+Pt/wQtiTv\n67Q5GZE3klG+MYzJH0OpezjBaB65B5uZrkxiaM4wbEr/bUfovHkv3E0EozPLsoirekbspHP8Ihun\nw8bwIbk4+3kaoxBCiMFFimQx6B2rqXyKAjbFRqitaExlklNDOEJRtduJgh0LTbvNzuXjPoa3dQ6B\nvLX8YsP/URvfkb5dMzX2BfeyL7iXdzo8x+9qk//rsrkYmT+KUfmjGe0by+j80YzyjWZ0/hhG+cYw\nPD/7qGtbIoYRCGChYMbj6IEgup4sYPWIhplIAErG8XBc583NB0loBtWNURKaSV1zBFDwuOzoukk0\nrhGMqmzc3UxLMJ6+LaVj/KKzuKpT3xxlTFm+DCQRQgjRp6RIFoPekW7kOxyWRTrysW7bQYB0JjkY\nUWkNJXh9bQ0jh+ThyLIiGld1AOwdCkGbYuOCEZdTGJ7LjKkuAmY9NcFqqkPVVAerqAlVUROqpjpY\njWq2F9+qqbInsJs9gd1Zz9Vj9zCmcAwj80YzMm80o/JHU2IrRf1wF/ubR5NrKyIecBMM7ABn8j0L\nagqJFhdYCsHorozjcb+LyZ4EJYEQw8+4iC3O9j7JAPsbwzz7zh5OmVDC3rpg+rZQVGPd9oNd4hc2\nm0Ke10UkrqFqprSAE0II0S/kU0WIYyDboJGMTHJzhByPMz1opLNgRMVms5GbpYuDoigM8Q5lYt4o\nZg+b2+X2llCMf67ZxJhxGq16XVshXdVWSFdTG6pBNdsjDnEjzvbm7Wxv3p75RHagOVlEF9rLmKyM\nZVzOaEbljqTYUU7ENZxiRzm+U4ZRmNu28hvR8GxtpGRsAQeq/PgKcvE0RDMiJ6muFjZFoa45is2m\ndBs7geRmvoUzy1m2fn+X2zoOGpGiWQghxNGQTxEx6ByvzXzZBo2kMsl2u4LbYc8oHjtzHWHm1qbY\nKHSWcmrpiKzPbVomDZF6qkPV1ISqqA1X05A4wK6m3VQFqqgN16Cbevr+cSNOvbGP+oZ9LG9ofx6n\n4uaOsU/iKJiEo+11HI4ENk8Iu8+H6c4eJWk/D4uEZhzVir7kk4UQQvQVKZLFoHOkm/mOVXb5WLMp\nNpxQbPkAACAASURBVMrzhlOeN5zTy+fjcNgoKsqltTWCrpsYpsGOxipeXP8+peUxasPVrK3ehulu\n5kC0lv2hGgzLQLMSPHvwIb7I2VlfR9VSPaEzN+eFoiq6YRKJZ2azk5ltPWv/5JSEZtAUiLXFUdw4\n7DZpCSeEEOL/s3ff4XHVZ97/32fOmSbNqFiSbcm4U9xtsLEpphkIJUAoWQghBEJCClmSJ/kl2RRC\nFnBCNrtPng1puwRSScIS2ISEEggYEoPpGBtjY2ywXNWl6eXU3x+jGc9Ioz4qtu/XdfmyPaPRnDOW\nju/56vO975KQIlmIQRqt7HIsZeJSFHSz+EAROLjJL3t/NDG4jhGloLpU6suncUw5nDl3GgD/SO7k\n1O4x2qZtctur3+XenXezNf48T7/zMB+Y8z6ge0NfKkW0rYvGPe0ko3GaQ5kNftnNebFkJlu8fU+I\nUEzn1bfb2LEvTEq32Lk/zJ6WGDOnBnn/ybNyhXJ2yIhh2bSHU+hG8bZxEr8QQggxXPK/hhDjJDtk\nZNeBMLYDLV2J3JANyAzMCMXTVJV7MW2bxuYo4ODzHPy2Vceho4Oj60za9jLJrmBugMk16RU8wB+I\n0sV3X/kmp+xRcCtabuNeojmFvwOOwaY+kuC4s99PZVWmJ3RmpVhhdn0FHZEUK+bVMa0u0D2lz0Q3\nbRzHKdjAlx0ysqcl2u+xpg1LNvYJIYQYFvlfQ4hxkt3MF03ovQaNQKZ43LClmZULpnQ/Qim4X1Nd\ngxq8UWqKx0Pn/JXM715JBiBucPHzn+V37WvZbTXxXf/f+M6KOyDlwre1De+UcpKvH6DihHraW+NU\nVgUK8tE+j9bdL9pV0C/a61Ep2O1YhG077GqKUFfll0JYCCFEycjuFnHEG8+pfNVBLxXlmUEjXs/B\njXtVgcztvu7b8v+cvX+gIRujyfb6USsr0aqqMr8qK1g56RJm+ZYA8Pt37+fyZ66iRQ3j8vlQgwFs\ntwclGMT2+kt2HIpLQVNd7G6JkjasXvcH/G7WnHDUiF6rZNrk7d1dJNPmwB8shBDisCFFsjjiZTfy\njfYqZCSh8/Rr+4gkeueOFQVUV2bQSCiW7rVxLT+TnL0/FEuPaTZ5IJqu88m6f+O0yWcAsLH1dS79\nyxo2d6zDisZwGTpONIoVCdPV1E77/jba97fR1dSOHo31GqqSiVtY6IZFuvvce07vC/rdzJgSwKMV\nf4OT3cg3kkEj2chGsSJcCCHE4Ut+NinEGOlr41+xQSMAKd2isTmKaTlE4mlCMZ2emeSs8Z425+g6\nVTveIOWr4d8mfYz7gzX8MPpHwkaIHx/4/2hvv5i54UuJvr6fAx0u4vsOoKmZGIVpOZmC31TQDZuN\nO9pzG/f2tsWwLAdVVXJ57VULprC1sYsT508ek3PLrkaXFelRLYQQ4vAlV30hxlmxQSOQHTbisHhO\nDa++3Ua538Mpi+p7tTjrqz3aWFI8HkLHLMONQtXSqXy1fA2nNF/BZ567mS69k/v1P7MgkGDVgu+R\n3NrGmSumUV+diV1EEzqv7Ohg4fwGyt/ryJ1j/sY9j+Ziydwa3tkbwjDtPruMjEY3C0114dZc7NwX\nli4ZQghxBJGrvRCDNJrZ5WKDRiCzoS1Y5sHrcQFKv8NGxpvt9aGgoFVWoAW8rKm6mIerF3H9Y9fy\nXnIzW62nCHlS2G4PlXXV1E4JApBui2F74wN+fsdxSOlmd69lq3sKoYJbU3MbGEerm4V0yRBCiCOP\nXO2FGKThDiE5kk0tb+CjR32Lf91xBQAbO9ejsDJ3fyxpsH5zE43NUdKGTVNHnGwP5ZRusb89TrnP\nTVvKgO1tNHXESes2TZ1xstETw7RwuWR7hRBCiNKSIlmIcdbXJL/swAzFdTCHEY4VHzbSnzEdPKIn\nscJhTDNzHmbcYIrTwGRvPa3pJl5tXccqYxlWJILptUjFDZx0iunlsLTBx1Zb56TuNnf5cZM33+vo\n/t3F4jk1vLY9E4OYN6OaN3a2lXzAixBCCCFFshDjrK8NfdmBGaFYGsfJdMDYuKOt1+Pzh45oWt8r\nqqO9uU8xDeq2v0IyVpkbMhIxFNIhD8ud43icJjZ2Pseq5MWkXj1AqMxFxFAwOtzUp9rxJ3w0dCYI\nnjQ7FynJxk16/u5xuzAthzKfhqIolPvcuFzKqBXLfW3ek4l+Qghx+JKruhCHAL9XY9kxtUXzyPlD\nR3pu6ssai819juam7bgTWbxkasGQEd/WNla7/4nHtz5LjDj3lt3Jqvk/45hZiyBu4N7UTMhuQDuu\njs7dYRRP8XPoi9etsnpJPRVlHkKxdMF9pSpis63kepKsshBCHL7kqi7EGBnpxr/sEJFi8geNjCfL\n0z1kpPs4NC2Nyxfl5GkXsGznZbyh/5EuZz8ff+XD/LLuPhZVrkLxhrBwUCoqsb0H4yTxpJG3Ua/w\n97RugwItnQne2RviuBlVALl+0vGUSVXAK0WsEEKIYZP/NYQYI/1t/EsbFs9tbuL0ZQ0FuWQ4mE12\nufofzzwWwjEdRSHXXSIr064tU7j2vN2IxUh02JyjfZpVU4/l7j3/TsQIceWfL+XWpbdTmT4DzTZx\nImG0RBQrHCYUc/GP15vY05bIbejL/m5aDvGUTiiWGTbSGkry8tZWKgMeUrpJY3MUcLjolNklOedS\nrUZLNEMIIQ4tcqUWYgJwHIdY0iiaqc1mk8eT031YG3e0FRSi2cEmsYTBO3u78Ho0Nmxpyt2eTiTx\nvvYcHeV+/HYlp3Ec0fQXeNj7E+JOklvf+DrnKJfzMf0szIiP6o44yUgFuqJhdLiZn+pizsnnsMXt\nym3cO2VRPQAbtjQzuz5IayjBinl1TKsLEEsaaGoLlm3n2sKNVH+r0UMZNCKr2kIIcWiRK7UQYkD5\nA08yK8UKp3R3oQDY3xZj54Ew9TVlBQNPInGdl+zVHD2tgsj+GOXTgjS8Po17lp7Jv2y+iT3xvTzl\n/C+nzriCYxcdT9d7HcxbVI8PBfemZlJMp6KyHF9LIrdxL/u5fR6VgN+NproIlnlycZRzVrh5duP+\nMXld+soqCyGEOPRJc1EhxKBUBzNFaEW5pyADXRXwEizzoKkKHnfh7RXlHtyBABVTavAGylCDAWy3\nh2MaTuBPl/8VVcnks59LP4FSUYlZFsxkmisrMFQ3ScXdK5Mcieu57HFbKElHJEVLZ4JQLE0olu6+\nzySeHLvWd0IIIQ4/spIsxDjzulWOnlZFY3NkvA9lVLnSSZyoC5ehY0UiNHiDnDHlLNY1P8VLoT+j\nh76YyyTH0hZ79odwOTboaZpD6YJhI5pLIZbU2bY7RTxpsnFHO/vbM1P7UrrVHQdp4rSlDeN6zkII\nIQ5dUiQLMc78Xo2jj6pkX1us4Pa+hoz0NF4b+/IHm0QTOqZloxu9N/SldItoOEbFlhdJVZTj7/Lk\n+iRflFzKOp4iZodY98JPWRidTzJSQchyY0V8HOt0cKzHTX04ScPJ72OL21UQ89i+p4sd+8IsPbqG\n42ZU554zbVgAWCXKJZumzc59YRbOnjTsPPFQ8stZstlPCCHGj1x1hZig+hoy0tNYb+zL38SXFY7p\nROIGjhPjkQ27mFxVhqa5cpv80rpJe9U8plR6SboMylfNpGpSGefGTqb60fvoslp4yPMaDcd+hHmL\n6gkmTNT1e0hX1+I9ppbQnjDT3MX7PNuOw5ZdnUyrCxzsBe04pHWLVNosyRsI07bZuT/M0UdVDrtY\nHU5+WTb7CSHE+JGrrhBiSPI38WXtb4uxqzlMXaWfcp8nN9gku8lv8ZxJvOnRWDxnEp7GLiom16AF\nvHi1NKurr+Qv7T9kY+hV3q3dx+rKeWiaDppGWvPx8r4kTV0Gye1tubiFr3uiX0ckhWU77GmJ8tzm\nA/g8GindYm9bDFDw7lC56JRZoz5IRQghxOFHimQhJoCRDhoZa9XBwqElkbiOprrwuFW8HlfBYBOf\nR+3uTJH53dNjdPapVZfzRMfP0J0UT7Xfx3Wck7vP7l62rq8pZ8Vxdd0t4Aq7auxtjTKtNpDrqpHp\n2Wyim5moxUhbwblcCgG/h3hq7DcCDieiIYQQojSku4UQE0B20EixH6nHkgZPv7aPSEIv8siJQXEp\neDQVBpFqcKWTWOEwZiiEGY7gNz2cVH4BAK+G/sqB5u2YkSiYJq50EtIpyswkATNJmWMU6arhKuiq\nUVHuwetRM8dTAhVlHlYvqS/6BiaZNnl7dxfJtFmS5+opG9HQVLlUCyHEWJPlCSEmuMFmk8dT0O9m\nxpQAkbhBOm8aX27jXqJwA1+oNUDSrRI1FVJdHj5gLGK9+09YWHx63Yf5VuBLWJF6KsLthNwVVJsh\nurp8+LqShOdNzT1vzw2DsaTBi281E03oOE6mYo8njVEb1z1WmWHZwCeEEGNPrrZCiBHLbuZrDSUB\nhw1bmvF51NzGvXjSYHdL5vdQ1TzaK/z43CpJw6YtnWJ27TlcpTRy/+7f8La5h/+TupNzAv9KR+AY\nWmMm7UoNXRVlNNtpOrd34vOEgcwqu2HYNHUk2LClCYCd+yOYloWCgqq6WL+56ZDPJcsGPiGEGHty\ntRVCjFh10MvJC+tJGzY4Ti43nN24N7s+SFNngkVzJrHL72Zl/v2v7+Kk42o5y3MriYjKn7t+SUuq\niT/wBT6k/ytBljCl0s3y2VVs29PFihllBLtb4kUTOnYyieP15cZVpw2btG4CSm5zYalGVI+nUrSh\nE0IIMXhypRVigspu5uu50W2iqgx4unO7Tq+Ne5nx0QoBv7tgWp+j69TvfA0lFiQFfKx9GcdXfYy1\n0V+jk+C30a9xhvFpFkYXYSYbqepMkIoGcLrzwWnDorI1Sejo44sek+OAblojPrdS9KIeSWQi4Hez\nauFUXnm7ZURt6IQQQgyeXGmFmKCym/lCsXS/HzfYoSNjQVGg3Df4YlLxeOicv5L58+sA6NrSxIcW\nXcSkvav50us3YygJ1nl+TIfrMq4O3ky7ZdBeGchtoksbFo2pOJW6zctbWzBtm72tsVzcAkBVXSPO\nJZeiF/VIIhOa6iJY5saljO3AGCGEOJJJkSzEIW4ibezzulUWz6nBth1CsXRu414saWBaNrGkQarH\nxr6E4iGu+VEUBbMsiFpZyana+fzTtrt4JP11InYrm+w/YiX286H6Ozh12axcC7hIXEfZ0lTY/i0v\nbpFImezviBNJ6Ewbx9dFCCHEoUeKZCEmANOySaRMynzaIdvuq9gkvuzGvUhcpyua5h+bDmCYNuB0\nD/7I3J/9O5A7/1p1DjfW3MPv27/JAWcTW0Iv8x+xazn22F9x5pRTc8/h82gF8Q6vW+0+GAXdsLAs\ne0K8gRiO/IhGfz2TpfuFEEKUnlxNhZgADNPmQHucmVODvYrkQ2XQSLFJfAUb9zri+L0ak6s9BSu/\noOQ2+mmqi4DfTWckhcsyqDB9vN/1bV51fslG+0FCZivX/PUSvrn0W1wx40OZ7hbhMF1NXswyD5GE\nQSqWwDAsHI8Xw7SxHYdY0sjFVrLPMVj9xVlKkVXuT8+IRl9jraX7hRBClJ5cTYWYALL546HeN1H0\nV0j6PGpulZkBFnRNy87ENMJx/G0HqFSTHKCWNfYlvL+mlv9I/pwUOre+cQt7toSZ55xAOJZm/f4D\naKqCaUNYV0gn0yRr6kmbNmndYtO7HTR1JHLPc86K6YMulPuLs5QiqyyEEGJikiJZCDFifRWS2eL4\nnb2hXC45FNfZsKUJn0cjljB4Z18I07QJlB0sWsOxNM3+Wny1XojapJUg719xE97dp/DvzTcTMcJ0\n1u/ltHk38Or2VlYcN7mgLdz6rW2kFDfxpEEibbJ0bg3HzagmmjB4bXvrYdESLl/PKIbEL4QQYuTk\n6imEGDXZCEY0oeMAad3E69FycYv9bTEaW6Icf2wt0+oCucftb4uxty3OggX1tLy+HwdQgkGmVC1h\nkb6cDS3r2Kvvprq+Fndzmur62lwmWYul8eyJ4+iZSXwuJdN6brSm7k0E2fHVWRK/EEKIkZOrpxAT\n1OGwmQ8yhbKiHNxQ53Uf7JMcietoaibXm1/ERuI6fjuNN50E00LBxolG0RJRZvlmsgHY0fU2ZiiE\nlohihcOYZqZItOI6WjKGYbuAifO6jSS/nNJN3t6dkJVhIYQYQ3K1FWKCiiUNnt24nzOPn9bvKuih\nsrFvKBxdZ+6+TVhMxooF8ZtJzE0HqA5FmR7MFJkhvYu9z/0Ff6tGa+dOwnm9k8ubIyhotNcvLNi4\nl2lJZ+Za0EFmFbYq2P8qc9qweG5zE6cvaxh2L+qR5Jd1w5aVYSGEGGNytRVighps8TuRNvbFkgav\nbW/rc7BJyrBAUXJFajShY1o20YReMDQlZsL2+iVUzK2FbZ2klQDa0ml0NYVZNnkOvPBzAP42uR1S\nZ9DaY8DIrkQE01FIR3Qsy2HLrk6aOhKkdKu75ZyCz3PwdT1v1Qyqq8v7PC+nu9A+VFvJ9ZRMm+zb\nF2OZf3yHzwghxEQmRbIQE9REKn4Hq78NfIoC4ZhOu5nKbdwLxzL9k//26l6Oqg2gdY/gDsfStKUV\ntramSSZ13GUaru7IyZzAMcz0LmB3eisP7f0fLndOZ9GMSuqr/UCm8LbSaQzDJum4cLtdnLRgCtPq\nAt3FuZNrOZfdyBeJ6XRGUoSj6V6b+iJxnbRug0LBCnTWUFvKDUU2oqG4FEzTZue+MAtnTxpwNbm/\nnsqQeSOxbXcX8+bWITP8hBCiOCmShZjgDodscnXQy/tOnEE0obNhS3OuSN3fFqOxOUKZz83KBVNy\nm89yG/eOCpJ8910qNA/K5haq28OkOis5yVzNbrayK/4uHen1aG8eDWWZ18atW0zfH8K0HEIuH53V\nxxVknnsOH9ENi79vOkB1YxfJZO8C3zRt4imdUOxgV46ehtJSbiiyEY1QLI1p2+zcH+booyoHLJJ7\nbuQTQggxdFIkCzHBDTabPJ6y0RCP1ncRn93A5/MUbtxTVQWvphYUrtkNfeXBMvTaerw1ZfgW1NL1\nXjsNc2o5+b2ZPLL7d8TNGC+XvcRnVnyEqrpMXCIc12nbuA9dt0k4Loj33+7NdhxcisLJi+vBtIq2\nh4vEC4v7rOaOBI+/tJtQLD1qq8lCCCHGhxTJQkxwh8LGvGw0JD9X3J9wLBNbiKUMXIqCbloFUYZM\nVtkhnjIwFBXDpZF0+zHLgqgVFZSVpTl3xoX86b0HOOC8jVpRgVYVBEDV0pj+EIZqYxsWkBzUMVUG\nvCiWhWkWL6rzi/usSFwnbVjjnlUeal/kgN/NOSumZyInkYOvj/RXFkKIg+QqKMQEdyhmk3vKTuQ7\nZnolABt3tAGZ1ma2Ay1dCf6x6QAp3aSq3Es8lelGsXVXJ5G4jgJsfrcdn0dD7Y6cTAvMACBph8bl\nnCaSofZF1lQXPm/v+I70VxZCiIPkKiiEGHXZDX0VZR7OWDYNpXu3WGYl1gbH4fhjannzvU5WLphC\nNKFnMsmzJxHuiDA5qLFqRjmTgh6MdAI7laLalxk+kiZGMtSO6bWAg32Sbd3GNm1cljWoY4wldCzd\n7DNukdKtXhv3st05EiljBK/OwFwuhYDfQ3yUn0cIIcRBUiQLcYg71Db2VffoSZyJkTgEyzy5SAOQ\nySSrDnNbt5I0G3A27cFwO0QMhVTIg9/Xnvscza8+RU2gFoCUblHXvXEv6aiEqcIxju33mHTD4m8v\n7wHbLhqdME2bWFLn5a0tuQ4ckImNhGI6L21t5ajJwX5zydnV9L7a4/WnoszD6iX1PLtx/5AeJ4QQ\nYvikSBbiEDeRNvaVPD/t9tBYv5D62gAVK6ZRVe6GuIFvaxs1UxR47kcAdB07lapjTgMKN+6lTZtE\n3EJx91+UZuviFfMmUzaEmEG2OwdQdAW64Dn6aI83kQzUOg4ktyyEOHLIFU6IQ9xE2tg3nPy0ooBL\ncRFLGblpePkb91IuD7ZpEU+kUXCIJgzShsVcbWbuc+yMbgdO6/25cVDtwcUtILNiO5QuFdnuHGNh\nKGOth1vIDqZ1nOSWhRBHCrnCCXGIO1Q29hUb7ew45Ir7zTs7ctPw0rpJKJbmzXc7CIdiBHdvpXGv\nD011kbBV2s0grTui1GjVdChdbN+1nlB0LlAYt7Ash4q0iaPPH/Zxx5JGn6vE0URmol/a6J1XhpEP\nGukZ0RjsWGspZIUQYuQm1NXzt7/9Lffeey/t7e3MmzePW265hSVLlvT58dFolO9///v87W9/IxKJ\n0NDQwNe//nVOP/30MTxqIcRgctHFRjtXB725jXz50/CyG/fmHlXJrqYoHfNXcuIJDQTKPEQSBu07\nOjn6mEnM3/gQz7U/S2NZiKozzgIK4xa6adESNVjhGd5gjVjS4KlX9/Z7v25aNHcm2LCluWDUddZI\nBo0cChENIYQ4XE2YIvmxxx7ju9/9LnfccQeLFy/mV7/6FZ/4xCf461//yqRJk3p9vGEYXH/99dTV\n1fGjH/2IyZMnc+DAAYLB4DgcvRBHtpHkovM38mWn4UFm416ZV8PlUnCVlVNZX0dVwIsaS+NvTlNd\nX8uylhN5rv1ZNnVt5MHmR/nQvGsK+iTrhoWRGlyf5GKyK8jLj5tMsKx3oRuJ61iWDSi9Bo1kR14P\nlFUuhaFEMSATx9i3L8Yy/9DfPAwmt5x9DskuCyEOZRPmyvXLX/6Sq666iksvvRSA2267jWeffZaH\nHnqIG2+8sdfHP/jgg0SjUR544AFUNbN609DQMKbHLITIGCgX7XWrHD2tKrfJLSs/TlCs0EukTGzb\nQc+LM0TiOkYsRripjQurLuE+9deErBa++MzN+JNejg+enGsB55gWvnQKJxLG9FpYcR1XeuhFc7DM\n3Wfx7/WogNJr0MhYGkoUAzJxjG27u5g3t46hJqoHO/JaIh9CiEPdhLhyGYbBW2+9xac+9ancbYqi\ncMopp/DGG28UfcwzzzzDsmXLuO2223j66aeZNGkSF110ETfeeCMu18RvgyXE4WSgXLTfq3H0UZXs\na4sV3J4fJ6gKeHOFXlckM7mvsSlK2rBo7kyyYUsTPo9GIpLA/co/eG+bD1N1c5V1M7/xfpsESW7e\n8Bm+bd/MDKsBy860bqtMGZivNBMq95DSLSa1RHFOmAGUvqDNzy9neiubBcV9sV7LWSPNLwshhCit\nCVEkd3V1YVkWtbW1BbfX1NSwa9euoo/Zu3cvL774Ipdccgk/+9nPaGxs5LbbbsOyLG666aaxOGwh\nxCipDHiYNbWCydU+du4PM3WSn1MW1VNR7mF/W4xHmpex4MRplPk9tO/o5D9qpvP5jZ8gZae5s+xX\n/PKk+9mzSyWWMGgPpzjhxLlU1QUIx3U6t7WhDDOj3J940uCVt1tzf0/pVm4jos+j9tlrOV9f+eVY\n0uC17W3D6rEshBBieCZEkdwXx3FQlOI/DLRtm9raWu644w4URWHBggW0trZy7733DqlIdrmUQef4\n8mVH46qHwPCGUpFzPjKM5Jz728CnqS5cLgVNdeWKxGK3ZW8v82lUlHtRXQpej8akCh9VQS/xlAn+\nMqoaJlNZ7qG8VWfNkov4Se1/c+MTN9CebuMLm27ixsn/jUGQdFpFq67GVxsk5U2DP557vuzzK0pm\nY5yryHEUO76e94MCSuZasmJeppANx3VcLjh1cQOVA8QTIgmdV7sL7GLPrygK8ZSBS1H6LLAHeq2L\nH3fhv3MybdLYFGFWfcWIIxJVQS/vWzljRENuSnk8IN/PR4oj7ZyPtPMdSxOiSK6urkZVVdrb2wtu\n7+zspKampuhjJk+ejNvtLiii58yZQ3t7O6ZpommDO7VJk8r7LMQHo6LCP+zHHqrknI8MwznnzkiK\n51/bz/knz6K6wldwn6Oq+P0eKqvKcvcVuy3/dltxZRopKwqOqmZ+uTK3OS4XjqpC9++XL7iaffED\n3PbcLewIbefn5le4fsp/omkqFRV+qqvLez2fo6r4fB5QTACCQV/R4+h5fPn3+3ye3Ovl93uY3lDF\npAofnZEUW/eEmDEt8/e+ROI6jprMnYejHsx1587P5Sp6f1/5YJdbY2ptgEmTyqkskpN2VBWv1507\n7tztkRSNrXHmza0rer5jbbSOR76fjwxH2jkfaec7FiZEkex2u1m4cCEvvPACZ599NpBZRX7hhRe4\n9tpriz7mhBNO4JFHHim4bdeuXdTV1Q26QAbo7IwPeyW5osJPJJLs3t1++JNzlnMeSDiaJpnUCYcS\nKFbhEI9U2mTW5HJSiTRd3feFo2lC4SR/+ftOzjx+Wq7g64qkSCZ1djeFSekme1oiPP78u/g8GqGY\nTltngofWvUNtpY+WAx2YXR143RoznTM4q/JSngn/ibdjL/MH81bOtj5HaF8zrXqMSCyN3tFB524P\nZsBLJJYmHY6QdnnweTWi0VTBcfd3Ptn7UykdUIhEkgUfO9BjIdNn+W+v7CWlW+xqipBKGQVt5AzT\nJhRL8/fX9tDYHGV7YwezplZ0bxbMOPfE6QSLRDBOWTgF2zDp6jKLHnc6bQAU/DsP5pjHUqmPR76f\n5ZwPR0fa+ZZKdXX5gB8z4iLZNE0aGxtxHIfZs2cPqUDNd/311/PVr36VRYsW5VrApVIpLr/8cgC+\n8pWvMHXqVL74xS8CcPXVV3Pfffexdu1aPvKRj9DY2Mjdd9/NddddN6TntW1nRD1ILcvGNI+sL0o5\n5yPDcM7ZtGxs28Es8li36uKYo6oyH9d9n2nZWLZNJK6jG1bu9ooyD6ctaeBAe4x9rTGm1ZZz0oKp\nuUzyrgNh/F6NZTMraHvrOaa7A7nOGovc7+eLnvd4Tt/Ma6mnCCbjLHv+fHzBmaQNm6rmCNFQBYZH\nJaVbVDYlSB69HAC7x3H3dz7592dfr/yPHeixAGndwrYdFs2ehG3bnLRgStGV4UhcxzT3gwKruj8m\n22IurVv4PcP7d8oed/6/x0DHPJZG63jk+/nIcKSd85F2vmNhREXyli1b+NznPseBAwcAqK+veDpm\niwAAIABJREFU5wc/+EG/A0D6cuGFF9LV1cVdd91Fe3s78+fP55577sn1SG5ubs61egOYOnUqP//5\nz7nzzjv5wAc+wJQpU7juuuuKtosTQoyNUo7Irg56iSZ0NFXB41ZzLdayo6C9mkqwMsC7i06ian5d\nQe73F8ZqPvDkB9kafotn/S/wbPQFavQalk9aQd2U+Vy56FyWT12IkjAJbWoGdXx/qBbwu3M9ovtu\nNeeiVK3mXK7M51FdCkOY2g2Mbf/jvnoySw9mIcRYGNHV5bbbbuPqq6/mmmuuIZFIcOedd3Lrrbfy\npz/9aVif75prruGaa64pet+vf/3rXrctXbqU+++/f1jPJYQovb5awfW1oa+v/sk9pfNap+WPgo4m\ndBKKh7jmR9XyVmA1P99ffR+feuo6dqc3A9CR7uDJpieAJ/jtM/9Jtbea5ZNPJpiaxxzXAsrdCzEi\nYcz0wcuiGTewUynMcATT7N11ItN3OYXtHd8sYM/x1QOpKPNwzorpVAa8ReMY/RnL/sd9Za6lB7MQ\nYiwM6upy5513cvPNNxMIBApu37NnD9deey0+n4+ysjIuu+wyPv/5z4/KgQohDl19TeTL759crM2Z\n052Eag0lcn2SI3GdWNKgqSPOi1tb2N0cxTRtAr0m4in8c8PP2N66hzkL23gn/hrr963n3fA7AHSl\nu3hq72PAY5ljaSlnxa5jOcl7HCd65zHPPYOEqZEKeYiE3wF371hWSreoakrQOW9lSV6neNIoensk\nrpPWbciN7+7dh7kjkpLx1UIIUUKDKpLD4TDnn38+X/jCF7jiiitytx9//PF85Stf4YorriCZTHL3\n3XezYsWKUTtYIcShaTAxjPzBIlmVAQ/T64KgkOuTHInrOACOw7yZ1TR1JDj+2Fqm1QV6fc7mzgRN\nnQneN/0UPjHlI4Riaf78ypt4Ju9iU+dLPLf3ObaHtgKQJM769EbWpzcCENACHD9pObXBhRx//Eep\nquk90TMc17vjGiOPl+iGxfrNTQUb97JM0yae0gnF9Nybhfw+zODQ2Bwlnqoft6l/QghxuBlUkfzd\n736XzZs3s3btWn7/+99z6623smTJEtauXcsdd9zBV77yFQBWrVrFLbfcMqoHLIQ49Aw0ka8/xbK4\nmWLbIeB3o6mZcdbFisNi0+0qtEmcOXMxH1r4T4RiaR58fhPbY6+z397MAWsT2zq34OAQM2Osb/07\n8Hd2vvoCT1/1916fS9XS2N7QsM6rJ9txAIXlx00m2GtVPHMuG7Y0c8qiqbk3C+BwyqKpxJIGjc3R\nEe9sLzYafLhGMzcsWWUhxFgY9FVkyZIlPPDAAzz44IPcdNNNrF69mi9/+cv84Ac/GM3jE0KIgkxy\nJK6TNixwnNwY6GhCJxRL93pcrI/4Qr6AVsXiwFmc4T2T0+bVYLjivNT6Mi+2vsTf9j3De7GdvNmx\nkf1N25nin1LwWCuuoyVjOCXa+KebFo4z9MiE4zhY1sijFhVlntxo8JEazdywZJWFEGNhyFeRD37w\ng5x//vn88Ic/5P3vfz+f/OQn+ehHPzrs1m9CiCNDf5v35s2oxlNkMly2XmzqjOfFDEz2tcZway6S\nuklbKMWLW1uoqQj3enxKz2xKG2gSlcs0qN75KvGOIB7NxSrcrGI1Z3rmcDVfA+CJZ3/GJWWn9vj8\nFnX7QziKC2fxtCG9Hj3ppsWeljgbtjT3GbnIH2udH7dI6xZdsTSJVHfv4yFu5BNCCNHboCvbXbt2\n8eKLL6LrOkuWLOFrX/saV155Jd/5znd44IEH+MY3vsFpp502mscqhDiEGabNgfY4M6cGC4rkbBSj\n2EqwqiqoLoWG2vKCTDIonLJoKk0dcd7ZG2bR7EkcN6N3nCMS13G5XJT7+r/U2ZqbroUnsWheDeW+\ng1GHJTGdyke/T9hq4/XqLj560lkFjwvHddo27sNRNea4R1aMOt1JiSVza2ioHbjJfX7corkzwZu7\nOrC689zF8t2iN4lnCCH6M6irwh//+EduueUWZs6cic/n43vf+x5XX301t9xyC/feey9PPfUUt99+\nO3PnzuUb3/gG06dPH+3jFkIcYoaTS7ZtB8t28GhqQSbZ51G7B2rouFwKAb+7zw1rxVaoiz6X149a\nWYXmP1gku7U084OreDH0CI/ve4KLQx/kvFkX5O5XtTSmP0Rm81xp9Hcu2XhJT46TGYoUSxqEYunu\nzhdWQSZbU10E/L2zzkNVytzyQIZaxPaVVe6LxDOEEP0Z1FXhrrvu4vOf/zyf/OQnAXjhhRe44YYb\nuOmmm5g0aRLnnHMOp59+Ovfccw8f/OAHeemll0b1oIUQh4f8CMZAwrH81mdWrhVcfnHYUzQxcCZ5\nIKcGzuPF0CNE9QjXPnYVHzn6w/zrCbdSppXlMskAVqSsoKdypodycsTPnxVLGjz16t7c3/PjFvGU\ngWU7bNnVSVNHgpRudt/n4PMcfG3PWTGdgN9NJKHz+jttvO/k2UM+jlLmlgcy1CK2r6yyEEIMx6CK\nZF3XmTlzZu7v06dPx3EcdP3gKoXH4+Gmm24qaBEnhBD9ye+f3FebOMcBRYGNO9oACgrAaNIg3d06\nbW9LDK2PVWNtgExyXxxd59TdNnMmfZF/jf6cNjvEfTt/x/pdT/Nvkz7Fscyibn9mJTkVrSIV9+d6\nKqd0i0ktUZwTZgAjb8uWXUHOdr/Ij1tEEzpNHXFOWjCFaXWBgkhK/gjr7OewbYdIXMeynRKugR96\nUrpJezjZnV2X1nlCiEKDKpI//OEP881vfpOXX34Zr9fLk08+yZlnnsnUqVN7feyUKVOKfAYhhOhf\nX3EMv1dj2TG1uQjCgY44e1piLDm6Fsd2ONAWp6Lcw8oFU4quIo4kZqB4PHTOX8ma+e/nDO06/uXl\nr/Lo3sfZbbVwTfu3+cyxn+U43yWoisaM46bgawxTsaCOqnI34bhO57Y2FE9pVzaDZe682ImWO2dN\ndRW0wstGUqRvct90w6Y9nEI3RtY6TwhxeBpUkfzZz36WpUuXsmHDBnRd5+abb+aiiy4a7WMTQggA\nqgLeXLEXievYjkOge4Odqip4tdErCDNZ5UpqApP5+UX38z/bf8fX13+FmBHlR9vvolr7H06suIip\nyvW4fEG0ygq0gLe7h3Ks5MdzqBjN7HKpNtyV+TRm11cMOsMshDiyDPrKsHr1alavXj2axyKEOMIM\nZhJfXyJxHUUBy3JIG1bRwSE9jTSjrCgKH5p3DSc3nMpnn/okLze/SJfZwpOd9/Lkk/cyt2wZrYGP\ncvXCKxmLH9/r3ecdTegF/aJ7btzrOcI6EtfRDavX5ytl67jRzC6XasOdprrwutVhx3GEEIc3efss\nhBg3fq/G0UdVkkiZuDV7UMWK3d08ecuuTnTDIpY0aOrI9BfWXAqheJqqcm+f+WQYfkY5a2bFLB6+\n9HEe2PoQ//3aL9gWfwEHm3cTb3DLC2+w9uWvc279eRxnncmpofdjmr6in8eMG9ipFFYkgqL33njY\nn3jS4L2mCLaTKRpDMZ1Xt7exY1+4357KPo9KSjfZ3RIjmtCp8B58gyKt44QQ4iApkoUQ4yp/817P\nuESxleaqgJf6mjJUl8KK+ZNxAJzMBjaADVua+8wnQ+laoakulQtmfQClZRlhs502z7P879ZfsE9p\nIWWl+Mu+h/kLD3PfI3dwaflqPlC2mpla4Z6NiKGQCnlItSepbE1C5bGDfv5sT+Qlc2twHIe9rVFW\nHFfHtLpAr4/N3+RXUe7hQHuc3S2xkkzpO5TJxj0hRH+kSBZCTFh9bebzulUsO5NL9rrV3GS9jP4L\nP9Oyc+3iStEiDqBSq+OCBTez2LyEyvpmHm36E39s/BMRI0Kz3cl/Rf/Mf0X/zNJJS7hg+vlccNT5\nHFN5NMQNfFvb8M2qJLy1DcLmwE/WQ7bg77lxD/rvq2xaNuFYGsWych+TH9Mo1ZuJkRhqrnmoWeXs\nayZxCyFEMVIkCyEOWdnoRXNngg1bmgEKYgWmaQ8qflGqvWWOr4xls07jzEXn8KXwt/nh+t+z3XqS\n9QfWYTs2mzo3s6lzM9/d9D2OqTqWNUddQG16CSc4J6HYFpgmZiSK6e2dF85GM3J9mCNxFLPvojq/\nr3LPuEUsaaAbFi+91YzbRS5e0bO/cravcr6xHHk91FzzcPoqSyZZCNEXKZKFEOMqG6nQXAqRuE6Z\nTxt00VIV8HLK4qkE/G6WHpNpCZcfK4jE9QHjF/GUyfNvHijhGWV4VR8rKt/Hl47/GCmlkz/ueIjH\ndv2Fl5texMFhR+gddoTeAeCevZNYaC4maJ9J6NUDVJT1rtqz0YxcH+aEjb9dwTGORikyEju/r7Lj\n9H5dPG4X71s1s9dKMigsmVvDO3tDRVehJbcshDhSDKpIfuutt4b0SRcuXDisgxFCHHmykYpQLN1n\nNjmf161y9LQqGpsjxJIGO/aGOX1ZAxVlHkKxdK538ETqFzy1vJ7PLPtnPrPsn2lNtPJE42M89t5f\n+Me+ZzFsgxankxb176D+nWdjVZxXfS4XHnU+p9efhk/t3vTXHc3I9mGOtsVJbthXtEDOFyzLrAT3\nfl00qoLeTJFsHiyGfR513GMWE1mp2s8JISa+QX2HX3HFFSjKwD+PdBwHRVHYtm3biA9MCCGKyXbE\n2NcWK+mqZjJtEo7rBaunPVup9TScTPPksslcu+B6rl1wPXs72/jp8w/QaD/PPw48je4kCRshHnjv\nDzzw3h8o08r55sm38fHFn0TT0rh80YN9mNMqjjb0Ii2WNHIt4ULR4pnkaKKwZVzWRIkllKoHcypt\n0h5OkUqbMMg3UaVqPyeEmPgG9R3+61//erSPQwghxkV3rJn9rTGef/MAHu1gJ42UbvLegQidkSST\nq8r6zDUPt1gLeipYWXUBnz72ozz56ru82PQMTu0mnu94ls50JwkzztfXf5kFvjkcU7a0VybZZehY\nkQhAv/nkrHjS4JW3W0npFrtbojzz2l6w7dybjGzruI072tnXFiObYc534vzBTVUdzexyqXowuzUX\nQb8bdz95dSHEkWtQRfLKlStH+ziEEEe4kQwWyRrOCmN10MvJi+rZuLOD5cfUUp43fS0S10kbNjj0\nmWuOp0xe2dYy7GPO8jguFnXN4LzyGXy75iJeSb/N/+n8EVEnwc3rPsOvJq0lFQ4WZpI7FFKvZvLU\n2Xxyf/LbxrlccNby6QUryfnnvWFLUy7DDJlV89e2t2IVySkXcyhkl1XVhdejok6QFXIhxMQiPysS\nQkwIxdq9mZZNImX22syXLah1w2JXU4QV8yZTFfAOe4WxOuDF79WoLPf0yuNminZn1HPNjuomUduA\nb8UMauvKuYBziL03lc+/+EX2WC38LPAPTq/6bGEm+fk9+FbMABhUPjkr4Hf3mUnO6plhFoMjmWUh\nDh/D+g5++OGHuf/++2lsbCSd7j0l6vXXXx/xgQkhRF+DRrIF9Z6WKGnDmtCrlUNhq27Uigq0qiAA\nHzr+4zze8jR/3fUov9v1G6bOPp01lZfmMsm224NaUQEwrHxyX+JJo1cmOZtjzuSV+85pj2d/5aH+\nJGE4w0QCfjdrTjiKMl/x11syy0IcPob8Hfzwww9zyy23cNlll7Fx40auuOIKbNtm3bp1VFRU8IEP\nfGA0jlMIIYZsqEVTKJbutXEvbVjgOCXdvNcXt5HCiYQL+iT/27LbeWn/83TpIZ5vf4hPhNf0yiS7\ncHAbqZIcQyxpsH5zU0FfZTjYa9m0HFK6mRt5Xcw5K6aX5FiGmmse6k8SdMOmPZxCNwYXIYHMm4C+\n2gkKIQ4vQy6Sf/GLX3DTTTfxyU9+kgceeIAPf/jDLFy4kFgsxsc//nHKy8tH4ziFEEegkeaUB1s0\nZYeSvP5OW8GqdEo32dsaw7ZtHtnQyOQqf5+F4UhzrS7T4JgDmzFf2U8orwhzAwuV6TxHiHCsicgL\nz/fKJHsck7n7OnH0eSM6BjjYX7m+prwgk3xwtHV9n0ViNrdcrL/ycBwKuWYhxOFryEXy7t27OeGE\nE1BVFVVVicViAAQCAW688Ua+853v8LGPfazkByqEOPIMlFP2aC4qy728tr2VqqB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YlCIYPZ6cHhUyaIHgkaVes3WbG0lAPSfzvtjuqp/Z+7UqpiHckW0+i3b9+O//iP/wg5tnTpUths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\neuGFF6QDBw5I3377rTR//nyptLRU+p//+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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_pp_survival([testfit], fill=False)\n", "survivalstan.utils.plot_observed_survival(df=d, event_col='event', time_col='t', color='green', label='observed')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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hEMbgpSlSa1SlgswrtdrzicPAaub69L26HaN+D6aN11lJskKRkTVr6KjFeFFk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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "survivalstan.utils.plot_pp_survival([testfit], by='sex')" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 0 }