get_OR_matching {debiasedTrialEmulation}R Documentation

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.


[Package debiasedTrialEmulation version 0.1.0 Index]