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.
- Version1.0.1.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- twoStageDesignTMLE citation info
- Last release02/05/2025
Documentation
Team
Susan Gruber
MaintainerShow author detailsMark van der Laan
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Last 30 days
This package has been downloaded 137 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 1,168 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Feb 08, 2025 with 40 downloads.
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Dependencies
- Depends1 package
- Suggests2 packages