John W. Robinson
John W. Robinson earned his M.D. from UCLA and holds two Ph.D.’s, in Biostatistics and Health Services Research, from Johns Hopkins University. In addition to his career as a consultant and scientific expert, he formerly taught comparative effectiveness research to medical school faculty and fellows, served as chief medical officer of a managed care organization with national scope, and surveyed health plans for a major accrediting organization.
He has published research in areas that include machine learning, predictive modeling, Bayesian multilevel analysis, comparative effectiveness research, healthcare cost analysis, risk adjustment, provider performance assessment, and primary care practice.
Selected Publications on Statistical Methods
Dr. Robinson’s writings have focused on the application of advanced statistical methods to improve the accuracy and reliability of research in the health sciences.
Propensity score models in observational comparative effectiveness studies
Journal of Comparative Effectiveness Research (2012); 1(2):129–35.
Regression tree boosting to adjust health care cost predictions for diagnostic mix
Health Services Research (2008); 43(2):755–72.
A hierarchical multivariate two-part model for profiling providers’ effects on health care charges
Journal of the American Statistical Association (2006); 101:911–23.