Statistical Methods for Establishing Personalized Treatment Rules in Oncology

Junsheng Ma, Brian P. Hobbs, Francesco C. Stingo

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

The process for using statistical inference to establish personalized treatment strategies requires specific techniques for data-analysis that optimize the combination of competing therapies with candidate genetic features and characteristics of the patient and disease. A wide variety of methods have been developed. However, heretofore the usefulness of these recent advances has not been fully recognized by the oncology community, and the scope of their applications has not been summarized. In this paper, we provide an overview of statistical methods for establishing optimal treatment rules for personalized medicine and discuss specific examples in various medical contexts with oncology as an emphasis. We also point the reader to statistical software for implementation of the methods when available.

Original languageEnglish (US)
Article number670691
JournalBioMed research international
Volume2015
DOIs
StatePublished - 2015

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

Fingerprint

Dive into the research topics of 'Statistical Methods for Establishing Personalized Treatment Rules in Oncology'. Together they form a unique fingerprint.

Cite this