{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Custom regression models\n", "\n", "Like for univariate models, it is possible to create your own custom parametric survival models. Why might you want to do this? \n", "\n", " - Create new / extend AFT models using known probability distributions\n", " - Create a piecewise model using domain knowledge about subjects\n", " - Iterate and fit a more accurate parametric model\n", "\n", "*lifelines* has a very simple API to create custom parametric regression models. You only need to define the cumulative hazard function. For example, the cumulative hazard for the constant-hazard regression model looks like:\n", "\n", "$$ \n", "H(t, x) = \\frac{t}{\\lambda(x)}\\\\ \\lambda(x) = \\exp{(\\vec{\\beta} \\cdot \\vec{x}^{\\,T})}\n", "$$ \n", "\n", "where $\\beta$ are the unknowns we will optimize over. \n", "\n", "\n", "Below are some example custom models." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modellifelines.ExponentialAFTFitter
duration col'week'
event col'arrest'
number of observations432
number of events observed114
log-likelihood-686.37
time fit was run2019-12-01 14:10:35 UTC
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coefexp(coef)se(coef)coef lower 95%coef upper 95%exp(coef) lower 95%exp(coef) upper 95%zp-log2(p)
lambda_fin0.371.440.19-0.010.740.992.101.920.064.18
age0.061.060.020.010.101.011.102.550.016.52
race-0.300.740.31-0.910.300.401.35-0.990.321.63
wexp0.151.160.21-0.270.560.761.750.690.491.03
mar0.431.530.38-0.321.170.733.241.120.261.93
paro0.081.090.20-0.300.470.741.590.420.670.57
prio-0.090.920.03-0.14-0.030.870.97-3.03<0.0058.65
intercept4.0557.440.592.905.2018.21181.156.91<0.00537.61
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Log-likelihood ratio test31.22 on 6 df, -log2(p)=15.41
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from lifelines.fitters import ParametricRegressionFitter\n", "from autograd import numpy as np\n", "from lifelines.datasets import load_rossi\n", "\n", "\n", "class ExponentialAFTFitter(ParametricRegressionFitter):\n", " \n", " # this class property is necessary, and should always be a non-empty list of strings. \n", " _fitted_parameter_names = ['lambda_']\n", " \n", " def _cumulative_hazard(self, params, t, Xs):\n", " # params is a dictionary that maps unknown parameters to a numpy vector. \n", " # Xs is a dictionary that maps unknown parameters to a numpy 2d array \n", " beta = params['lambda_']\n", " X = Xs['lambda_']\n", " lambda_ = np.exp(np.dot(X, beta))\n", " return t / lambda_\n", " \n", "\n", "rossi = load_rossi()\n", "rossi['intercept'] = 1.0\n", "\n", "# the below variables maps dataframe columns to parameters\n", "regressors = {\n", " 'lambda_': rossi.columns\n", "}\n", "\n", "eaf = ExponentialAFTFitter().fit(rossi, 'week', 'arrest', regressors=regressors)\n", "eaf.print_summary()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modellifelines.DependentCompetingRisksHazard
duration col'week'
event col'arrest'
penalizer0.1
number of observations432
number of events observed114
log-likelihood-227.75
time fit was run2019-12-01 14:22:36 UTC
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coefexp(coef)se(coef)coef lower 95%coef upper 95%exp(coef) lower 95%exp(coef) upper 95%zp-log2(p)
lambda1fin-0.010.990.22-0.430.410.651.51-0.040.970.05
age0.001.000.00-0.010.010.991.010.370.710.49
race0.271.310.17-0.070.610.931.831.540.123.02
wexp0.041.040.04-0.040.110.961.120.900.371.45
mar-0.320.730.19-0.690.060.501.06-1.660.103.38
paro0.121.130.12-0.100.350.901.421.070.291.80
prio0.001.000.01-0.010.020.991.020.480.630.67
intercept-0.030.970.03-0.090.030.911.03-1.040.301.75
lambda2fin-0.001.000.20-0.410.400.671.48-0.020.980.03
age0.021.020.01-0.000.041.001.041.690.093.46
race0.391.470.22-0.040.820.962.261.780.073.74
wexp-0.140.870.13-0.400.120.671.12-1.080.281.84
mar0.361.430.21-0.060.770.942.161.680.093.42
paro0.111.120.14-0.160.390.851.470.790.431.23
prio0.001.000.02-0.040.040.961.040.070.950.08
intercept-0.200.820.07-0.33-0.070.720.93-3.00<0.0058.51
rho1intercept0.611.840.39-0.151.360.863.911.580.113.13
rho2intercept2.8717.690.661.594.164.8864.104.37<0.00516.32
alphaintercept0.301.350.140.020.581.021.792.070.044.70
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Log-likelihood ratio test36.86 on 17 df, -log2(p)=8.15
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Text(0.5, 1.0, 'Predicted survival functions for selected subjects')" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "image/png": { "height": 263, "width": 383 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'\n", "\n", "\n", "class DependentCompetingRisksHazard(ParametricRegressionFitter):\n", " \"\"\"\n", "\n", " Reference\n", " --------------\n", " Frees and Valdez, UNDERSTANDING RELATIONSHIPS USING COPULAS\n", " \n", " \"\"\"\n", " \n", " _fitted_parameter_names = [\"lambda1\", \"rho1\", \"lambda2\", \"rho2\", \"alpha\"]\n", "\n", " def _cumulative_hazard(self, params, T, Xs):\n", " lambda1 = np.exp(np.dot(Xs[\"lambda1\"], params[\"lambda1\"]))\n", " lambda2 = np.exp(np.dot(Xs[\"lambda2\"], params[\"lambda2\"]))\n", " rho2 = np.exp(np.dot(Xs[\"rho2\"], params[\"rho2\"]))\n", " rho1 = np.exp(np.dot(Xs[\"rho1\"], params[\"rho1\"]))\n", " alpha = np.exp(np.dot(Xs[\"alpha\"], params[\"alpha\"]))\n", "\n", " return ((T / lambda1) ** rho1 + (T / lambda2) ** rho2) ** alpha\n", "\n", "\n", "swf = DependentCompetingRisksHazard(penalizer=0.1)\n", "\n", "rossi = load_rossi()\n", "rossi[\"intercept\"] = 1.0\n", "rossi[\"week\"] = rossi[\"week\"] / rossi[\"week\"].max() # scaling often helps with convergence\n", "\n", "covariates = {\n", " \"lambda1\": rossi.columns,\n", " \"lambda2\": rossi.columns,\n", " \"rho1\": [\"intercept\"],\n", " \"rho2\": [\"intercept\"],\n", " \"alpha\": [\"intercept\"],\n", "}\n", "\n", "swf.fit(rossi, \"week\", event_col=\"arrest\", regressors=covariates, timeline=np.linspace(0, 2))\n", "swf.print_summary(2)\n", "\n", "ax = swf.plot()\n", "\n", "ax = swf.predict_survival_function(rossi.loc[::100]).plot()\n", "ax.set_title(\"Predicted survival functions for selected subjects\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Cure models\n", "\n", "Suppose in our population we have a subpopulation that will never experience the event of interest. Or, for some subjects the event will occur so far in the future that it's essentially at time infinity. In this case, the survival function for an individual should not asymptically approach zero, but _some positive value_. Models that describe this are sometimes called cure models (i.e. the subject is \"cured\" of death and hence no longer susceptible) or time-lagged conversion models. \n", "\n", "It would be nice to be able to use common survival models _and_ have some \"cure\" component. Let's suppose that for individuals that will experience the event of interest, their survival distrubtion is a Weibull, denoted $S_W(t)$. For a random selected individual in the population, thier survival curve, $S(t)$, is:\n", "\n", "$$ \n", "\\begin{align*}\n", "S(t) = P(T > t) &= P(\\text{cured}) P(T > t\\;|\\;\\text{cured}) + P(\\text{not cured}) P(T > t\\;|\\;\\text{not cured}) \\\\\n", " &= p + (1-p) S_W(t)\n", "\\end{align*}\n", "$$\n", "\n", "Even though it's in an unconvential form, we can still determine the cumulative hazard (which is the negative logarithm of the survival function):\n", "\n", "$$ H(t) = -\\log{\\left(p + (1-p) S_W(t)\\right)} $$" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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modellifelines.CureModel
duration col'week'
event col'arrest'
penalizer0.1
number of observations432
number of events observed114
log-likelihood-728.92
time fit was run2019-12-01 14:57:18 UTC
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coefexp(coef)se(coef)coef lower 95%coef upper 95%exp(coef) lower 95%exp(coef) upper 95%zp-log2(p)
lambda_fin0.091.100.19-0.290.470.751.600.480.630.66
age0.011.010.02-0.020.040.981.040.670.501.00
race0.321.380.26-0.190.830.832.301.230.222.19
wexp0.101.110.19-0.270.470.761.600.530.590.75
mar0.031.030.30-0.560.630.571.880.110.910.13
paro-0.030.970.19-0.390.340.671.40-0.160.880.19
prio0.051.050.03-0.010.110.991.121.740.083.61
intercept-0.820.440.47-1.740.100.181.10-1.750.083.65
rho_intercept0.311.370.100.120.511.121.663.13<0.0059.17
beta_fin1.313.690.111.091.522.984.5811.88<0.005105.78
age0.031.030.010.010.051.011.053.48<0.00510.95
race0.661.940.210.251.081.282.953.12<0.0059.14
wexp0.221.250.15-0.070.510.941.671.520.132.96
mar0.301.350.22-0.130.730.882.071.380.172.59
paro0.161.170.13-0.090.410.911.511.250.212.24
prio0.091.100.040.020.161.021.182.580.016.65
intercept0.251.280.080.090.411.091.503.03<0.0058.68
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Log-likelihood ratio test-64.59 on 15 df, -log2(p)=-0.00
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from autograd.scipy.special import expit\n", "\n", "class CureModel(ParametricRegressionFitter):\n", " _scipy_fit_method = \"SLSQP\"\n", " _scipy_fit_options = {\"ftol\": 1e-10, \"maxiter\": 200}\n", "\n", " _fitted_parameter_names = [\"lambda_\", \"beta_\", \"rho_\"]\n", "\n", " def _cumulative_hazard(self, params, T, Xs):\n", " c = expit(np.dot(Xs[\"beta_\"], params[\"beta_\"]))\n", "\n", " lambda_ = np.exp(np.dot(Xs[\"lambda_\"], params[\"lambda_\"]))\n", " rho_ = np.exp(np.dot(Xs[\"rho_\"], params[\"rho_\"]))\n", " sf = np.exp(-(T / lambda_) ** rho_)\n", "\n", " return -np.log((1 - c) + c * sf)\n", "\n", "\n", "swf = CureModel(penalizer=.1)\n", "\n", "rossi = load_rossi()\n", "rossi[\"intercept\"] = 1.0\n", "\n", "covariates = {\"lambda_\": rossi.columns, \"rho_\": [\"intercept\", \"prio\"], \"beta_\": rossi.columns}\n", "\n", "swf.fit(rossi, \"week\", event_col=\"arrest\", regressors=covariates, timeline=np.arange(250)) \n", "swf.print_summary(2)" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "image/png": { "height": 357, "width": 713 }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# what's the effect on the survival curve if I vary \"age\"\n", "fig, ax = plt.subplots(figsize=(12, 6))\n", "\n", "cm.plot_covariate_groups(['age'], values=np.arange(20, 50, 5), cmap='coolwarm', ax=ax)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }