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R code for Targeted PrEP in Test-and-Treat Trials
(2016)
  • Laura Balzer
Abstract
This folder provides R code and two sample data sets for “Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing Test-and-Treat trial” by Balzer, Staples, Onnela and DeGruttola.

The targeted maximum likelihood estimation (TMLE) for the sample average treatment effect (SATE) is detailed in Balzer L, van der Laan M, Petersen M et al. Adaptive pre-specification in randomized trials with and without pair- matching. Statistics in Medicine 2016; 35(21): 3717-3732.

For questions or concerns, please email Laura at lbbalzer@hsph.harvard.edu

Last updated: May 20, 2016
Disciplines
Publication Date
Spring 2016
Citation Information
Laura Balzer. "R code for Targeted PrEP in Test-and-Treat Trials" (2016)
Available at: http://works.bepress.com/laura_balzer/36/