John W. Robinson, M.D., Ph.D., LLC
Statistical Consulting ▪ Expert Analysis
About John Robinson
John Robinson earned his M.D. from UCLA and holds Ph.D.’s in Biostatistics and Health Services Research from the Johns Hopkins University. In addition to his career as a consultant and 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
Robinson JW. Regression tree boosting to adjust health care cost predictions for diagnostic mix. Health Services Research 2008;43(2):755-72. Available at: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442380/?tool=pubmed.
Robinson JW, Zeger SL, Forest CB. A hierarchical multivariate two-part model for profiling providers' effects on health care charges. Journal of the American Statistical Association 2006;101:911-23. Available at: http://pubs.amstat.org/doi/abs/10.1198/016214506000000104.
Robinson JW. Propensity score models in observational comparative effectiveness studies: cornerstone of design or statistical afterthought? Journal of Comparative Effectiveness Research 2012;1(2):129-35. Available at: http://www.futuremedicine.com/doi/abs/10.2217/cer.12.4.
