{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## X-learner\n", "X-learner is a Meta-algorithm by [künzel et al. (2018)](https://www.pnas.org/content/116/10/4156) \n", "that estimates heterogeneous treatment effect using five base-learners. Two are used for estimating the outcome (one for the treated and one for the non treated) Additional two are used to regress over the imputed treatment effect (again one for the treated cases and another for the non-treated). The fifth is used to estimate the propensity score of each case that is used to average the two regressed values.\n", "\n", "***\n", "$\\mathbf{\\text{X-learner(X, A, Y)}}$ \n", "***\n", "\n", "Learn the outcome estimators: \n", " 1.$ \\hat\\mu_{0}=M_{1}(Y\\vert_{A=0} \\sim X\\vert_{A=0}) $ \n", " 2.$ \\hat\\mu_{1}=M_{2}(Y\\vert_{A=1} \\sim X\\vert_{A=1}) $ \n", " Implemented in causallib using a single T-learner (`StratifiedStandardization`) $ \\hat\\mu=M(Y \\sim X) $ \n", "\n", "Impute the predicted factual outcome with the actual observed outcome (but leave the counterfactual outcome prediction as is) \n", " 3. $ \\tilde{Y}^1_{i} = A \\cdot Y_{i} + (1-A) \\cdot \\mu_{1}(X_i) $ \n", " 4. $ \\tilde{Y}^0_{i} = (1-A) \\cdot Y_{i} + A \\cdot \\mu_{0}(X_i) $ \n", "\n", "Calculate the imputed treatment effect: \n", " 5. $ D_{i} = \\tilde{Y}^1_{i} - \\tilde{Y}^0_{i}$ \n", " Note that there may be other possible contrasts than the effect difference, like risk-ratio (using `effect_types`).\n", "\n", "Regress over the treatment effect: \n", " 6. $ \\hat\\tau_0 = M_{3}(D\\vert_{A=0} \\sim X\\vert_{A=0}) $ \n", " 7. $ \\hat\\tau_1 = M_{4}(D\\vert_{A=1} \\sim X\\vert_{A=1}) $ \n", " Note that this as well is a T-learner, and is implemented in causallib using a single T-learner (`StratifiedStandardization`) $ \\hat\\tau=M(D \\sim X) $ \n", "\n", "Fit a treatment prediction model \n", " 8. $ g = M_{5}(A \\sim X) $ \n", "\n", "Average the CATE according to the propensity: \n", " 9. $ \\hat\\tau(X_i) = g(X_i)\\hat\\tau_0(X_i) + (1-g(X_i))\\hat\\tau_1(X_i) $ \n", "***\n", "\n", "\n", "We can see that the \"X\" from \"X-learner\" comes from the imputation of factual outcome predictions, \n", "so the effect crosses between the observed outcome of the treated with the counterfactual prediction under no-treatment (and vice-versa). \n", "It's interesting to note that the estimation steps use common building blocks from causal modeling.\n", "While the paper describes four machine-learning models ($M_1,...,M_4$), \n", "these are actually two T-learners (a causal model that trains one prediction for the treated and another for the control).\n", "And so, naturally, since all we need is a model that takes $X$ and $A$ and outputs counterfactual predictions, we can, in theory, also use an S-learner when applicable (and might enjoy better power, which T-learner lacks since it is a completely un-pooled model). \n", "In the language of causallib, this means you can either use `Standardization` or `StratifiedStandaridzation` (or any `IndividualOutcomeEstimator`, even `TMLE`) and plug in whatever machine-learning estimator you'd like." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "import time\n", "import warnings\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "import shap\n", "from sklearn.ensemble import GradientBoostingRegressor\n", "from sklearn.metrics import mean_squared_error, r2_score\n", "from sklearn.neural_network import MLPRegressor\n", "\n", "from causallib.datasets import load_nhefs\n", "from causallib.estimation import Standardization, StratifiedStandardization, XLearner\n", "from causallib.evaluation import evaluate\n", "\n", "warnings.filterwarnings(\"ignore\")\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Revisiting the NHEFS data set\n", "\n", "We are going to analyze the National Health and Nutrition Examination Survey (NNHEFS) dataset and analyze it using the X-learner. \n", "If focuses on smoking habits and contains general demographic data of participants, whether they stopped-smoking, and their weight at the start of the study (1971) and at the end of it (1983) (more info: [[1]](https://causallib.readthedocs.io/en/latest/causallib.datasets.data_loader.html#causallib.datasets.data_loader.load_nhefs) [[2]](https://github.com/BiomedSciAI/causallib/blob/master/examples/nhefs.ipynb)). \n", "\n", "#### Xlearner training\n", "The \"Vanilla\" X-learner algorithm is obtained by initializing the Xlearner estimator with two `StratifiedStandardization` (one for the outcome and one for the effect estimation aka CATE). But as mentioned we will use a `Standardization` model for the effect. \n", "This is will allow us to later explore model explainability with [SHAP](https://shap.readthedocs.io/en/latest/index.html). " ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.457746\n" ] } ], "source": [ "data = load_nhefs()\n", "xlearner = XLearner(\n", " outcome_model=StratifiedStandardization(GradientBoostingRegressor()),\n", " effect_model=Standardization(GradientBoostingRegressor()),\n", " effect_types=\"diff\",\n", ")\n", "_ = xlearner.fit(data[\"X\"], data[\"a\"], data[\"y\"])\n", "effect = xlearner.estimate_effect(data[\"X\"], data[\"a\"], agg=\"population\") #\n", "print(f\"{effect['diff']:.6f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's see what would have been the result if we only used the `StratifiedStandardization` model (namely, the first step of X-learner without the later imputation and effect modelling)." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3.439928084609407\n" ] } ], "source": [ "outcomes = xlearner.outcome_model.estimate_individual_outcome(\n", " data[\"X\"], data[\"a\"], predict_proba=True\n", ")\n", "print((outcomes[1] - outcomes[0]).mean())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see the two results result are very comparable with the one another in this relatively simple case." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Explaining the effect estimation\n", "We can now extract the gradient-boosting trees underlying the `StratifiedStandardization` outcome model. \n", "We can further display their average feature importance using Shapley values, to provide an explanation (for information about SHAP, see [[1]](https://shap.readthedocs.io/en/latest/index.html) [[2]](https://en.wikipedia.org/wiki/Shapley_value)).\n", "Since the target variable in the first step is the outcome, this is similar to applying SHAP on a usual machine learning task (only that we have two such models), and querying the importance of charachteristics in predicting weight-change." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "for treatment in (0, 1):\n", " model = xlearner.outcome_model.learner[treatment]\n", " X = data[\"X\"].loc[data[\"a\"] == treatment, :]\n", " explainer = shap.Explainer(model, X)\n", " shap_values = explainer(X)\n", " plt.gca().set_title(f\"Treatment: {treatment}\")\n", " shap.plots.beeswarm(shap_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can easily see that age and weight-at-baseline (`wt71`) are the most important features. \n", "First, the older the participants the greater their reduction in weight over the years, which can be explain by basic physiology with loss of muscle and bone density.\n", "Second, the higher the weight at baseline the greater the weight-loss, which can actually be explained by a simple regression-to-the-mean - heavier participants loss weight, while thinner participants gained weight on average. \n", "However, remember these are the changes in the outcome, not the effect. \n", "\n", "Note that we used a `StaratifiedStanrdardization` for obtaining a heterogeneous treatment effect, but two models mean two sets of feature importances. \n", "Therefore, we have some consolidation to make regarding the different importances of the same features in the two treatment groups. \n", "To overcome this, we use a single model (`Standardization`) when explaining the effect." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "model = xlearner.effect_model.learner\n", "X = xlearner.effect_model._prepare_data(data[\"X\"], data[\"a\"])\n", "explainer = shap.Explainer(model, X)\n", "shap_values = explainer(X)\n", "shap.plots.beeswarm(shap_values)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we see the picture for age and weigh-at-baseline is less clear than when predicting the outcome.\n", "We can see that by the greater overlap of different Feature Values \\[colors\\] on the impact on prediction \\[x-axis\\]).\n", "However, we can see that older participants had larger increase in weights if quitting, relative to younger particpants. \n", "So we can say that the earlier participants quit the larger the reduction in weight. \n", "Additionally, we now see education level and activity are more clearly associated with heterogeneity of weight reduction, probably as a proxy for a more healthy-aware lifestyle.\n", "\n", "We do see, that while sex had a clear and realtively-strong effect on the outcome,\n", "it has relatively little impact on modifying the effect of smoking cessation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Effect estimator error\n", "We still need to keep in mind the error of the effect estimator. If the effect regressor is close to random we might assume that the effect model did not estimate the causal effect. Some measure of error is accepted, the ground truth is also an estimation of the effect and might be less accurate then the calculates by the effect model." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Select the cate model\n", "\n", "# the `effect_model` estimates the imputed treatment effect (see rows five and six in the algorithm description)\n", "imputed_effects = xlearner._estimate_imputed_treatment_effect(data[\"X\"], data[\"a\"], data[\"y\"])\n", "effect_results = evaluate(xlearner.effect_model, data[\"X\"], data[\"a\"], imputed_effects)\n", "f, ax = plt.subplots(figsize=(10, 5)) # Reduce figure size\n", "effect_results.plot_continuous_accuracy(phase=\"train\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Warm start ###\n", "We can use the warm start feature to reduce run time. \n", "If an effect estimator is not given in the constructor, `Xlearner` copies it from the outcome estimator. \n", "The copy is preformed post-fit, so warm starting the effect estimator with the outcome is applicable. \n", "We would like to use this if the base model takes a lot of time to train and if the effect estimation is a similar to outcome estimation. For example we might use a neural network with iterative optimization process, it is possible that starting the effect-estimation-network with the final weights of the outcome-network will shorten the training time. \n", "\n", "To test the time reduction, we will use the simulated data from the X-learner paper.\n", "\n", "Keep in mind that \"warm start\" is a broad term, in it varies between different types of machine learning models.\n", "In optimizing weight-based base-estimators such as neural network, it is define the starting point for the optimization process, while in some trees ensembles it can be creating a copy the entire ensemble without additional training. " ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "def _generate_X(n, d, seed=0):\n", " rng = np.random.RandomState(seed)\n", " sigma = np.array([[0.7 ** (np.abs(i - j)) for i in range(d)] for j in range(d)])\n", " X = pd.DataFrame(rng.multivariate_normal(np.zeros(d), sigma, size=n))\n", " return X\n", "\n", "\n", "def generate_data_SI1(n=500, d=20, seed=0, treat_fraction=0.02):\n", " \"\"\"\n", " Simulation SI1 - linear response and imbalanced treatment assignment\n", " \"\"\"\n", " rng = np.random.RandomState(seed)\n", " X = _generate_X(n, d, seed)\n", " a = pd.Series(rng.binomial(1, treat_fraction, n))\n", "\n", " beta = rng.uniform(-5, 5, size=(d,))\n", " mu_0 = np.dot(X, beta) + 5 * np.array(X.iloc[:, 0] > 0.5)\n", " mu_1 = mu_0 + 8 * np.array(X.iloc[:, 1] > 0.1)\n", " tau = mu_1 - mu_0\n", " y = a * mu_1 + (1 - a) * mu_0 + rng.normal(size=(n,))\n", " return {\"X\": X, \"a\": a, \"y\": y, \"tau\": tau, \"mu_0\": mu_0, \"mu_1\": mu_1}\n", "\n", "\n", "# we create the data set here so we could accurately compare the run time.\n", "sim_data = generate_data_SI1(n=50000, d=20, seed=0)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculated ATE: 3.616 Actual ATE: 3.661\n", "Run time (seconds): 777.93\n" ] } ], "source": [ "start = time.time()\n", "xlearner_cold = XLearner(\n", " outcome_model=StratifiedStandardization(MLPRegressor()), effect_types=\"diff\"\n", ")\n", "_ = xlearner_cold.fit(sim_data[\"X\"], sim_data[\"a\"], sim_data[\"y\"])\n", "end = time.time()\n", "effect = xlearner_cold.estimate_effect(sim_data[\"X\"], sim_data[\"a\"], agg=\"population\")\n", "print(\n", " \"Calculated ATE: {:.3f} Actual ATE: {:.3f}\".format(\n", " effect.head().values[0], sim_data[\"tau\"].mean()\n", " )\n", ")\n", "print(\"Run time (seconds): {:.2f}\".format(end - start))" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculated ATE: 3.956 Actual ATE: 3.661\n", "Run time (seconds): 412.99\n" ] } ], "source": [ "start = time.time()\n", "xlearner_warm = XLearner(\n", " outcome_model=StratifiedStandardization(MLPRegressor(warm_start=True)), effect_types=\"diff\"\n", ")\n", "_ = xlearner_warm.fit(sim_data[\"X\"], sim_data[\"a\"], sim_data[\"y\"])\n", "end = time.time()\n", "effect = xlearner_warm.estimate_effect(sim_data[\"X\"], sim_data[\"a\"], agg=\"population\")\n", "print(\n", " \"Calculated ATE: {:.3f} Actual ATE: {:.3f}\".format(\n", " effect.head().values[0], sim_data[\"tau\"].mean()\n", " )\n", ")\n", "print(\"Run time (seconds): {:.2f}\".format(end - start))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The training time was halved yet the results were less accurate. Given more adaptive training schemes could give more accurate results." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### X-learner vs. T-learner\n", "\n", "Künzel et al. claim that X-learner is superior to T-learner and S-learner in imbalanced settings, and in balanced settings - X-learner is superior to S-learner when the treated and control groups differ.\n", "Here below we extended the authors' analysis in comparing X-learner with T-learner under varying treatment imbalances,\n", "using the same simulated data from the paper. \n", "To examine the exact impact of the second-step modeling of the effect, the T-learner we'll use will be the first-step outcome model from the X-learner itself.\n", "\n", "We will measure the error in effect estimation - both the bias relative to the average treatment effect (ATE) and the error of the heterogeneous (PEHE [[Hill 2011]](https://www.tandfonline.com/doi/abs/10.1198/jcgs.2010.08162), which is basically the RMSE of the individual effect estimation), and R-sqaured." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "results = pd.DataFrame(\n", " index=range(9),\n", " columns=[\n", " \"Actual ATE\",\n", " \"StratifiedStandardization ATE\",\n", " \"Xlearner ATE\",\n", " \"Xlearner R squared\",\n", " \"StratifiedStandardization R squared\",\n", " \"Xlearner mse\",\n", " \"StratifiedStandardization mse\",\n", " ],\n", ")\n", "for i, fr in enumerate(np.arange(0.02, 0.51, 0.06)):\n", " sim_data = generate_data_SI1(n=5000, d=20, seed=56, treat_fraction=fr)\n", " xlearner_ds = XLearner(\n", " outcome_model=StratifiedStandardization(GradientBoostingRegressor()), effect_types=\"diff\"\n", " )\n", " _ = xlearner_ds.fit(sim_data[\"X\"], sim_data[\"a\"], sim_data[\"y\"])\n", " # effect = xlearner_ds.estimate_effect(sim_data['X'],sim_data['a'],agg='population')\n", " xlearner_effect = xlearner_ds.estimate_effect(sim_data[\"X\"], sim_data[\"a\"], agg=\"individual\")\n", " tlearner_effect = xlearner_ds.outcome_model.estimate_individual_outcome(\n", " sim_data[\"X\"], sim_data[\"a\"], predict_proba=True\n", " )\n", " tlearner_effect = tlearner_effect[1] - tlearner_effect[0]\n", " results.loc[i, \"Xlearner ATE\"] = xlearner_effect.mean()\n", " results.loc[i, \"StratifiedStandardization ATE\"] = tlearner_effect.mean()\n", " results.loc[i, \"Actual ATE\"] = sim_data[\"tau\"].mean()\n", " results.loc[i, \"Xlearner R squared\"] = r2_score(sim_data[\"tau\"], xlearner_effect)\n", " results.loc[i, \"StratifiedStandardization R squared\"] = r2_score(\n", " sim_data[\"tau\"], tlearner_effect\n", " )\n", " results.loc[i, \"Xlearner PEHE\"] = mean_squared_error(\n", " sim_data[\"tau\"], xlearner_effect, squared=False\n", " )\n", " results.loc[i, \"StratifiedStandardization PEHE\"] = mean_squared_error(\n", " sim_data[\"tau\"], tlearner_effect, squared=False\n", " )" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", "ax1 = sns.lineplot(\n", " data=results[[\"Xlearner ATE\", \"StratifiedStandardization ATE\", \"Actual ATE\"]], ax=ax1\n", ")\n", "ax1.set_ylabel(\"ATE\")\n", "ax2 = sns.lineplot(data=results[[\"Xlearner PEHE\", \"StratifiedStandardization PEHE\"]], ax=ax2)\n", "ax2.set_ylabel(\"PEHE\")\n", "ax3 = sns.lineplot(\n", " data=results[[\"Xlearner R squared\", \"StratifiedStandardization R squared\"]], ax=ax3\n", ")\n", "ax3.set_ylabel(\"R squared on the effect\")\n", "for ax in [ax1, ax2, ax3]:\n", " ax.set_xlabel(\"Treatment rate\")\n", " _ = ax.set_xticklabels([\"{:.2f}\".format(v) for v in np.arange(0.02, 0.51, 0.06)])\n", " _ = ax.set_xticks(range(9))\n", "f.set_size_inches(20, 5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looking at the left panel, we can see that X-learner does have smaller bias than T-learner throughout all treatment prevalences. So adding the extra X-learner steps does not damage the T-learner in terms of average treatment effect.\n", "It does have consistently better PEHE performance, suggesing it also better at estimating heterogeneous effect estimation." ] } ], "metadata": { "interpreter": { "hash": "f3fd09ed116dbcd8272803933d89386c48e975a66c63f3e74ae5939b6749d6cb" }, "kernelspec": { "display_name": "Python 3.8.10 ('causal')", "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": "3.8.10" }, "vscode": { "interpreter": { "hash": "69f88c614e1e3c90b1e7d1bcdbafb917f9042edfca4477b05464240f7cf41bf5" } } }, "nbformat": 4, "nbformat_minor": 4 }