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twoStageDesignTMLE (version 1.0.1.2)

Targeted Maximum Likelihood Estimation for Two-Stage Study Design

Description

An inverse probability of censoring weighted (IPCW) targeted maximum likelihood estimator (TMLE) for evaluating a marginal point treatment effect from data where some variables were collected on only a subset of participants using a two-stage design (or marginal mean outcome for a single arm study). A TMLE for conditional parameters defined by a marginal structural model (MSM) is also available.

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Install

install.packages('twoStageDesignTMLE')

Monthly Downloads

103

Version

1.0.1.2

License

GPL-3

Maintainer

Susan Gruber

Last Published

February 5th, 2025

Functions in twoStageDesignTMLE (1.0.1.2)

twoStageTMLE

twoStageTMLE
evalAugW

.evalAugW calls TMLE to use super learner to evalute preliminary predictions for Q(0,W) and Q(1,W) conditioning on stage 1 covariates
twoStageTMLEmsm

twoStageTMLEmsm
estimatePi

estimatePi
print.twoStageTMLE

print.twoStageTMLE
twoStageDesignTMLENews

twoStageDesignTMLENews Get news about recent updates and bug fixes
summary.twoStage

summary.twoStageTMLE
setV

Utilities setV Set the number of cross-validation folds as a function of effective sample size See Phillips 2023 doi.org/10.1093/ije/dyad023
print.summary.twoStageTMLE

print.summary.twoStageTMLE
summary.twoStageTMLE

summary.twoStageTMLE