Keith Betts


Los Angeles


Ph.D., biostatistics, Harvard University; M.A., biostatistics, University of California, Berkeley; B.S., applied mathematics, University of California, Los Angeles

Summary of Experience

Dr. Betts is a statistician whose expertise includes individualized medicine methodology, risk prediction, and health outcomes research. He is experienced in using advanced statistical methods, retrospective database and claims analyses, and comparative effectiveness research. His work has focused on health care projects, including the design and analysis of clinical trials, health economic modeling, and network meta-analysis. Dr. Betts has particular expertise in the development and application of new statistical methods for health care research. He has conducted research on a broad range of diseases and conditions, and his research has been published in peer-reviewed statistical, medical, and health economics journals.

Selected Publishing

  • Identifying patient subgroups who benefit most from a treatment: using administrative claims data to uncover treatment heterogeneity

    J Med Econ. 2012; 15(6):1078-87

    Erder MH, Signorovitch JE, Setyawan J, Yang H, Parikh K, Betts KA, Xie J, Hodgkins P, Wu EQ.

      View abstract
    Health Care
  • Comparative efficacy of nilotinib and dasatinib in newly diagnosed chronic myeloid leukemia: a matching-adjusted indirect comparison of randomized trials

    Curr Med Res Opin. 2011 Jun;27(6):1263-71. Epub 2011 Apr 28

    Signorovitch J, Wu EQ, Betts K, Parikh K, Kantor E, Guo A, Bollu V, Williams D, Wei L, DeAngelo D

      View abstract
    Health Care