compute_etau

Implements Estimator I (AJE 2022, Eq. 2) combining propensity score weighting
and inverse probability of censoring weighting to estimate counterfactual
survival functions and treatment effects.
Compute Etau Normalization Constant

internal

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

compute_etau function

<dl><dt>estimand</dt>
<dd>Estimand type ("ATE", "ATT", or for overlap).</dd>
<dt>method</dt>
<dd>Method ("IPW" or "overlap").</dd>
<dt>ps_matrix</dt>
<dd>Propensity score matrix [n x J].</dd>
<dt>n_levels</dt>
<dd>Number of treatment levels.</dd>
<dt>att_group</dt>
<dd>Target group for ATT (if applicable).</dd>
<dt>treatment_levels</dt>
<dd>Vector of treatment levels.</dd></dl>

Arguments

Survival Effect Estimation with Weibull Censoring Scores — compute_etau

<dl>

<dt>estimand</dt>
<dd>Estimand type ("ATE", "ATT", or for overlap).</dd>


<dt>method</dt>
<dd>Method ("IPW" or "overlap").</dd>


<dt>ps_matrix</dt>
<dd>Propensity score matrix [n x J].</dd>


<dt>n_levels</dt>
<dd>Number of treatment levels.</dd>


<dt>att_group</dt>
<dd>Target group for ATT (if applicable).</dd>


<dt>treatment_levels</dt>
<dd>Vector of treatment levels.</dd>

</dl>

compute_etau: Survival Effect Estimation with Weibull Censoring Scores

Description

Usage

Value

Arguments