onearmglmcount.dr: Doubly robust estimators of the coefficients in the two...

In precmed: Precision Medicine

Doubly robust estimators of the coefficients in the two regression

Description

Doubly robust estimators of the coefficients in the two regression

Usage

onearmglmcount.dr(y, x.cate, time, trt, ps, f.predictor)

Arguments

y	Observed outcome; vector of size n
x.cate	Matrix of p baseline covariates; dimension n by p
time	Log-transformed person-years of follow-up; vector of size n
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
f.predictor	Initial prediction of the outcome (expected number of relapses for one unit of exposure time) conditioned on the covariates x for one treatment group r; mu_r(x), step 1 in the two regression; vector of size n

Value

Doubly robust estimators of the regression coefficients beta_r in the doubly robust estimating equation where r = 0, 1 is treatment received; vector of size p + 1 (intercept included)

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