BH.Estimates: Estimates for Breslow-Holubkov approach from the "osDesign"...

In brendalewisprice/IPCWTMLE2Phase: Inverse Probability of Censoring Weighted Targeted Minimum Loss-based Estimation for Two-Phase STudies

Description

Provides estimates using the BH approach for two stage designs for the marginal means, marginal risk difference, and marginal relative risk. It requires as input the output object from the "tps" function from the "osDesign" package

Usage

BH.Estimates(fmla = fmla, dat = dat, tps.fit = tps.fit)

Arguments

fmla	The formula used in the "tps" call from "osDesign"
dat	The phase 1 dataset coded with delta=1 for phase 2 sampled observations
tps.fit	The fit output by the tps function in "osDesign"

Value

Estimates of marginalized risk difference, relative risk and odds ratios

Examples

See package vignette
BH.Estimates

brendalewisprice/IPCWTMLE2Phase documentation built on Nov. 4, 2019, 8:12 a.m.