print.marCoxph

Implements propensity score weighting methods for estimating
counterfactual survival functions, marginal hazard ratios, and
weighted Kaplan-Meier and cumulative risk curves in observational
studies with time-to-event outcomes. Supports binary and multiple
treatment groups with inverse probability of treatment weighting (IPW),
overlap weighting (OW), and average treatment effect on the treated
(ATT). Includes symmetric trimming (Crump extension) for extreme
propensity scores. Variance estimation via analytical M-estimation or
bootstrap. Methods based on Li et al. (2018) <doi:10.1080/01621459.2016.1260466>,
Li & Li (2019) <doi:10.1214/19-AOAS1282>, and Cheng et al. (2022)
<doi:10.1093/aje/kwac043>.

Chengxin Yang

PSsurvival

Propensity Score Methods for Survival Analysis

Chao Cheng

Fan Li

print.marCoxph function

<dl><dt>x</dt>
<dd>A <code>marCoxph</code> object.</dd>
<dt>max.len</dt>
<dd>Maximum number of treatment comparisons to print. Default 10.</dd>
<dt>round.digits</dt>
<dd>Number of digits for rounding displayed values. Default 4.</dd>
<dt>...</dt>
<dd>Additional arguments (ignored).</dd></dl>

Arguments

Print Method for marCoxph Objects — print.marCoxph

<dl>

<dt>x</dt>
<dd>A <code>marCoxph</code> object.</dd>


<dt>max.len</dt>
<dd>Maximum number of treatment comparisons to print. Default 10.</dd>


<dt>round.digits</dt>
<dd>Number of digits for rounding displayed values. Default 4.</dd>


<dt>...</dt>
<dd>Additional arguments (ignored).</dd>

</dl>

print.marCoxph: Print Method for marCoxph Objects

Description

Usage

Value

Arguments