Statistical Methods for Establishing Personalized Treatment Rules in Oncology

Abstract EN

The process for using statistical inference to establish personalized treatment strategies requiresspecific techniques for data-analysis that optimize the combination of competing therapieswith candidate genetic features and characteristics of the patient and disease.

A wide varietyof methods have been developed.

However, heretofore the usefulness of these recent advanceshas not been fully recognized by the oncology community, and the scope of their applicationshas not been summarized.

In this paper, we provide an overview of statistical methods forestablishing optimal treatment rules for personalized medicine and discuss specific examples invarious medical contexts with oncology as an emphasis.

We also point the reader to statisticalsoftware for implementation of the methods when available.