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twoStageDesignTMLE  

Targeted Maximum Likelihood Estimation for Two-Stage Study Design
View on CRAN: Click here


Download and install twoStageDesignTMLE package within the R console
Install from CRAN:
install.packages("twoStageDesignTMLE")

Install from Github:
library("remotes")
install_github("cran/twoStageDesignTMLE")

Install by package version:
library("remotes")
install_version("twoStageDesignTMLE", "1.0.1.2")



Attach the package and use:
library("twoStageDesignTMLE")
Maintained by
Susan Gruber
[Scholar Profile | Author Map]
First Published: 2024-09-05
Latest Update: 2024-09-05
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.
How to cite:
Susan Gruber (2024). twoStageDesignTMLE: Targeted Maximum Likelihood Estimation for Two-Stage Study Design. R package version 1.0.1.2, https://cran.r-project.org/web/packages/twoStageDesignTMLE. Accessed 22 Feb. 2025.
Previous versions and publish date:
1.0 (2024-09-05 19:20)
Other packages that cited twoStageDesignTMLE R package
View twoStageDesignTMLE citation profile
Other R packages that twoStageDesignTMLE depends, imports, suggests or enhances
Complete documentation for twoStageDesignTMLE
Functions, R codes and Examples using the twoStageDesignTMLE R package
Full twoStageDesignTMLE package functions and examples
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