optTx

optTx,IQLearnFS,data.frame-method

optTx,IQLearnFS,missing-method

If newdata is provided, the results of the statistical method are used
 to estimate the decision functions and/or optimal tx. If
 newdata is missing, the estimated decision functions and/or optimal tx
 obtained for the original training data are returned.

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

optTx function

<dl><dt>x</dt>
<dd>a DynTxRegime Object.</dd>
<dt>newdata</dt>
<dd>Optional data.frame if estimates for new patients are desired.</dd>
<dt>...</dt>
<dd>Optional additional input.</dd>
<dt>y</dt>
<dd>Object of class IQLearnFS</dd>
<dt>z</dt>
<dd>Object of class IQLearnFS</dd>
<dt>dens</dt>
<dd>one of {norm, nonpar}</dd></dl>

Arguments

Extract or Estimate the Optimal Tx and Decision Functions — optTx

<dl>

<dt>x</dt>
<dd>a DynTxRegime Object.</dd>


<dt>newdata</dt>
<dd>Optional data.frame if estimates for new patients are desired.</dd>


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


<dt>y</dt>
<dd>Object of class IQLearnFS</dd>


<dt>z</dt>
<dd>Object of class IQLearnFS</dd>


<dt>dens</dt>
<dd>one of {norm, nonpar}</dd>

</dl>

optTx: Extract or Estimate the Optimal Tx and Decision Functions

Description

Usage

Arguments

Details