confint.DTRreg

Confidence intervals for parameters, with the option of 
 constructing the confidence intervals using the percentile method 
 when bootstrap is used.

Dynamic treatment regime estimation and inference via G-estimation,
dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via
bootstrap and recursive sandwich estimation. Estimation and
inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv).
Extension to continuous treatment variables. Wallace et al. (2017)
<DOI:10.18637/jss.v080.i02>; Simoneau et al. (2020)
<DOI:10.1080/00949655.2020.1793341>.

Shannon Holloway

DTRreg

DTR Estimation and Inference via G-Estimation, Dynamic WOLS,
Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)

confint.DTRreg function

<dl><dt>object</dt>
<dd>A model object generated by the function DTRreg.</dd>
<dt>parm</dt>
<dd>Not available for DTRreg objects.</dd>
<dt>level</dt>
<dd>The confidence level required.</dd>
<dt>type</dt>
<dd>Typical Wald-type confidence interval "se" (default) or 
confidence intervals derived with the percentile method "percentile" 
(bootstrap variance estimates only).</dd>
<dt>...</dt>
<dd>Space for additional arguments (not currently used).</dd></dl>

Arguments

Confidence Interval Calculations for DTRs — confint.DTRreg

<dl>

<dt>object</dt>
<dd>A model object generated by the function DTRreg.</dd>


<dt>parm</dt>
<dd>Not available for DTRreg objects.</dd>


<dt>level</dt>
<dd>The confidence level required.</dd>


<dt>type</dt>
<dd>Typical Wald-type confidence interval "se" (default) or 
confidence intervals derived with the percentile method "percentile" 
(bootstrap variance estimates only).</dd>


<dt>...</dt>
<dd>Space for additional arguments (not currently used).</dd>

</dl>

confint.DTRreg: Confidence Interval Calculations for DTRs

Description

Usage

Value

Arguments