ps_adjust_one: adjustment on propensity score for one drug exposure

In adapt4pv: Adaptive Approaches for Signal Detection in Pharmacovigilance

adjustment on propensity score for one drug exposure

Description

Implement the adjustment on propensity score for one drug exposure. The binary outcome is regressed on the drug exposure of interest and its estimated PS. Internal function, not supposed to be used directly.

Usage

ps_adjust_one(ps_est, y)

Arguments

ps_est

An object of class "ps", "*" where "*" is "bic", "hdps" or "xgb" according on how the score was estimated, respective outputs of internal functions est_ps_bic, est_ps_hdps, est_ps_xgb. It is a list with the following elements : * score_type: character, name of the drug exposure for which the PS was estimated. * indicator_expo: indicator of the drugs exposure for which the PS was estimated. One-column Matrix object. * score_variables: Character vector, names of covariate(s) selected to include in the PS estimation model. Could be empty. *score: One-column Matrix object, the estimated score.

y

Binary response variable, numeric.

Details

The PS could be estimated in different ways: using lasso-bic approach, the hdPS algorithm or gradient tree boosting using functions est_ps_bic, est_ps_hdps and est_ps_xgb respectivelly.

Value

An object with S3 class "ps","adjust"

expo_name	Character, name of the drug exposure for which the PS was estimated.
estimate	Regression coefficient associated with the drug exposure in adjustment on PS.
pval_1sided	One sided p-value associated with the drug exposure in adjustment on PS.
pval_2sided	Two sided p-value associated with the drug exposure in adjustment on PS.

Could return NA if the adjustment on the PS did not converge.

Author(s)

Emeline Courtois
Maintainer: Emeline Courtois [e-mail]

Examples

set.seed(15)
drugs <- matrix(rbinom(100*20, 1, 0.2), nrow = 100, ncol = 20)
colnames(drugs) <- paste0("drugs",1:ncol(drugs))
ae <- rbinom(100, 1, 0.3)
pshdps2 <- est_ps_hdps(idx_expo = 2, x = drugs, y = ae, keep_total = 10)
adjps2 <- ps_adjust_one(ps_est = pshdps2, y = ae)
adjps2$estimate #estimated strength of association between drug_2 and the outcome by PS adjustment

adapt4pv documentation built on May 31, 2023, 6:08 p.m.