Estimating and evaluating personalized treatment recommendations from randomized trials with ptr

• Autores: Matthias Pierce, Richard Emsley
• Localización: The Stata journal, ISSN 1536-867X, Vol. 21, Nº. 2, 2021, págs. 349-359
• Idioma: inglés
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• Resumen

  • 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