summary

Returns a list of the primary results, including regression results, 
 optimization results, estimated tx and value, etc.

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

summary function

<dl><dt>object</dt>
<dd>Value object returned by a statistical method</dd>
<dt>...</dt>
<dd>Optional additional inputs</dd></dl>

Arguments

Result Summaries — summary

<dl>

<dt>object</dt>
<dd>Value object returned by a statistical method</dd>


<dt>...</dt>
<dd>Optional additional inputs</dd>

</dl>

summary: Result Summaries

Description

Usage

Arguments

Details