Estimating and evaluating personalized treatment recommendations from randomized trials with ptr

Matthias Pierce () and Richard Emsley ()
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Matthias Pierce: University of Manchester
Richard Emsley: King’s College London

Stata Journal, 2021, vol. 21, issue 2, 348-359

Abstract: One of the targets of personalized medicine is to provide treatment rec- ommendations using patient characteristics. We present the command ptr, which both predicts a personalized treatment recommendation algorithm and evaluates its effectiveness versus an alternative regime, using randomized trial data. The command allows for multiple (continuous or categorical) biomarkers and a binary or continuous outcome. Confidence intervals for the evaluation parameter are provided using bootstrap resampling.

Keywords: ptr; personalized treatment recommendations; personalized medicine; stratified medicine (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1177/1536867X211025799

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