twoarmglmmean.dr: Doubly robust estimators of the coefficients in the contrast...

In precmed: Precision Medicine

Doubly robust estimators of the coefficients in the contrast regression as well as their covariance matrix

Description

Solving the estimating equation bar S_n (delta) = 0

Usage

twoarmglmmean.dr(y, x.cate, trt, ps, f1.predictor, f0.predictor)

Arguments

y	Observed outcome; vector of size n
x.cate	Matrix of p.cate baseline covariates; dimension n by p.cate
trt	Treatment received; vector of size n units with treatment coded as 0/1
ps	Estimated propensity scores for all observations; vector of size n
f1.predictor	Initial predictions of the outcome (expected number of relapses for one unit of exposure time) conditioned on the covariates x for treatment group trt = 1; mu_1(x), step 1 in the two regression; vector of size n
f0.predictor	Initial predictions of the outcome (expected number of relapses for one unit of exposure time) conditioned on the covariates x for treatment group trt = 0; mu_0(x), step 1 in the two regression; vector of size n

Value

coef: Doubly robust estimators of the regression coefficients delta_0; vector of size p + 1 (intercept included) vcov: Variance-covariance matrix of the estimated coefficient delta_0; matrix of size p + 1 by p + 1

precmed documentation built on Oct. 6, 2024, 1:07 a.m.