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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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=twoStageDesignTMLE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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