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docs/source/get_started.rst

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This page contains basic usage of dte_adj library.
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Generate data and train cumulative distribution function.
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Generate data for training cumulative distribution function:
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.. code-block:: python
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dte, lower_bound, upper_bound = estimator.predict_dte(target_treatment_arm=1, control_treatment_arm=0, locations=np.sort(Y), variance_type="simple")
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An convenience function is available to visualize distribution effects. This method can be used for other distribution parameters including Probability Treatment Effect (PTE) and Quantile Treatment Effect (QTE).
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A convenience function is available to visualize distribution effects. This method can be used for other distribution parameters including Probability Treatment Effect (PTE) and Quantile Treatment Effect (QTE).
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.. code-block:: python
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Confidence bands can be computed in different ways. In the following code, we used moment method to calculate the confidence bands.
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Confidence bands can be computed in different ways. In the following code, we use moment method to calculate the confidence band.
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Also, uniform confidence band is used when "uniform" is specified for the "variance_type" argument.
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Also, an uniform confidence band is used when "uniform" is specified for the "variance_type" argument.
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.. code-block:: python
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To compute QTE, we can use "predict_qte" method. The confidence band is computed by bootstrap method.
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To compute QTE, we use "predict_qte" method. The confidence band is computed by bootstrap method.
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.. code-block:: python
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