cox.rmst

Estimate restricted mean survival time (RMST) based on Cox regression model

A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) <doi:10.1080/01621459.2020.1772080>.

Thomas Debray

precmed

Precision Medicine

Lu Tian

Xiaotong Jiang

Gabrielle Simoneau

Biogen  MA  Inc. 

Stan Wijn

Joana Caldas

cox.rmst function

<dl><dt>y</dt>
<dd>Observed survival or censoring time; vector of size <code>n</code>.</dd>
<dt>d</dt>
<dd>The event indicator, normally <code>1 = event, 0 = censored</code>; vector of size <code>n</code>.</dd>
<dt>x.cate</dt>
<dd>Matrix of <code>p.cate</code> baseline covariates specified in the outcome model; dimension <code>n</code> by <code>p.cate</code>.</dd>
<dt>xnew</dt>
<dd>Matrix of <code>p.cate</code> baseline covariates for which we want an estimate of the RMST; dimension <code>m</code> (observations in the new data set) by <code>p.cate</code></dd>
<dt>tau0</dt>
<dd>The truncation time for defining restricted mean time lost.</dd></dl>

Arguments

Estimate restricted mean survival time (RMST) based on Cox regression model — cox.rmst

<dl>

<dt>y</dt>
<dd>Observed survival or censoring time; vector of size <code>n</code>.</dd>


<dt>d</dt>
<dd>The event indicator, normally <code>1 = event, 0 = censored</code>; vector of size <code>n</code>.</dd>


<dt>x.cate</dt>
<dd>Matrix of <code>p.cate</code> baseline covariates specified in the outcome model; dimension <code>n</code> by <code>p.cate</code>.</dd>


<dt>xnew</dt>
<dd>Matrix of <code>p.cate</code> baseline covariates for which we want an estimate of the RMST; dimension <code>m</code> (observations in the new data set) by <code>p.cate</code></dd>


<dt>tau0</dt>
<dd>The truncation time for defining restricted mean time lost.</dd>

</dl>

cox.rmst: Estimate restricted mean survival time (RMST) based on Cox regression model

Description

Usage

Value

Arguments