propen

For statistical methods that require a propensity regression analysis,
 the value object returned by the modeling function(s) is retrieved.

Methods to estimate dynamic treatment regimes using Interactive
Q-Learning, Q-Learning, weighted learning, and value-search methods based on
Augmented Inverse Probability Weighted Estimators and Inverse Probability
Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for
Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B.,
Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.

Shannon Holloway

DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

propen function

<dl><dt>object</dt>
<dd>A value object returned by a statistical method of DynTxRegime.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Retrieve Propensity Regression Analysis — propen

<dl>

<dt>object</dt>
<dd>A value object returned by a statistical method of DynTxRegime.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

propen: Retrieve Propensity Regression Analysis

Description

Usage

Arguments

Details