outcome_models: Estimate Odds Ratio (OR) after Propensity Score Matching

In debiasedTrialEmulation: Pipeline for Debiased Target Trial Emulation

Estimate Odds Ratio (OR) after Propensity Score Matching

Description

Computes the odds ratio for a binary outcome after applying propensity score matching.

Computes the risk ratio for a binary outcome after applying propensity score matching.

Computes the hazard ratio for a time-to-event outcome after propensity score matching.

Computes OR, RR, and HR for a binary or time-to-event outcome after stratification.

Computes the risk ratio for a binary outcome after applying propensity score stratification.

Computes the hazard ratio for a time-to-event outcome after propensity score stratification.

Computes the odds ratio for a binary outcome after applying propensity score weighting.

Computes the risk ratio for a binary outcome after applying propensity score weighting.

Computes the hazard ratio for a time-to-event outcome after applying propensity score weighting.

Usage

get_OR_matching(data, names_outcome)

get_RR_matching(data, names_outcome)

get_HR_matching(data, names_outcome)

get_OR_stratification(data, names_outcome)

get_RR_stratification(data, names_outcome)

get_HR_stratification(data, names_outcome)

get_OR_weighting(data, names_outcome, IPTW)

get_RR_weighting(data, names_outcome, IPTW)

get_HR_weighting(data, names_outcome, IPTW)

Arguments

data	A dataset containing treatment assignment and outcome variables.
names_outcome	A character vector of outcome variable names.
IPTW	A numeric vector of inverse probability of treatment weights.

Value

A data frame with the estimated log odds ratio, standard error, and p-value.

debiasedTrialEmulation documentation built on June 8, 2025, 9:42 p.m.