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Estimating and evaluating personalized treatment recommendations from randomized trials with ptr

Author

Listed:
  • Matthias Pierce

    (University of Manchester)

  • Richard Emsley

    (King’s College London)

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.

Suggested Citation

  • Matthias Pierce & Richard Emsley, 2021. "Estimating and evaluating personalized treatment recommendations from randomized trials with ptr," Stata Journal, StataCorp LP, vol. 21(2), pages 348-359, June.
    • Handle: RePEc:tsj:stataj:v:21:y:2021:i:2:p:348-359
    DOI: 10.1177/1536867X211025799
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