validate_ps_formula

Data Validation Functions for PSsurvival Package

internal

treatment

Variable

from

that

score

name

valid

propensity

formula

validate

checks

extracts

left-hand

side.

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

validate_ps_formula function

<dl><dt>ps_formula</dt>
<dd>A formula object for the propensity score model.
Should be of the form `treatment ~ covariates`.</dd></dl>

Arguments

Data Validation Functions for PSsurvival Package — validate_ps_formula

<dl>

<dt>ps_formula</dt>
<dd>A formula object for the propensity score model.
Should be of the form `treatment ~ covariates`.</dd>

</dl>

Data Validation Functions for PSsurvival Package

validate_ps_formula: Data Validation Functions for PSsurvival Package

Description

Usage

Value

Arguments