twoStageDesignTMLE: Targeted Maximum Likelihood Estimation for Two-Stage Study Design

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.

Version: 1.0
Depends: tmle (≥ 2.0)
Suggests: dbarts (≥ 0.9-18), glmnet
Published: 2024-09-05
DOI: 10.32614/CRAN.package.twoStageDesignTMLE
Author: Susan Gruber [aut, cre], Mark van der Laan [aut]
Maintainer: Susan Gruber <sgruber at TLrevolution.com>
License: GPL-3
Copyright: Copyright 2024. TL Revolution LLC. All Rights Reserved.
NeedsCompilation: no
Citation: twoStageDesignTMLE citation info
Materials: NEWS
CRAN checks: twoStageDesignTMLE results

Documentation:

Reference manual: twoStageDesignTMLE.pdf

Downloads:

Package source: twoStageDesignTMLE_1.0.tar.gz
Windows binaries: r-devel: twoStageDesignTMLE_1.0.zip, r-release: twoStageDesignTMLE_1.0.zip, r-oldrel: twoStageDesignTMLE_1.0.zip
macOS binaries: r-release (arm64): twoStageDesignTMLE_1.0.tgz, r-oldrel (arm64): twoStageDesignTMLE_1.0.tgz, r-release (x86_64): twoStageDesignTMLE_1.0.tgz, r-oldrel (x86_64): twoStageDesignTMLE_1.0.tgz

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