John W. Robinson, M.D., Ph.D., LLC
Statistics ▪ Analytics ▪ Data Science
About John Robinson
John Robinson has been consulting and delivering services to healthcare organizations for over 20 years. He earned his M.D. from UCLA and holds Ph.D.'s in Biostatistics and Health Services Resarch from the Johns Hopkins University. He taught comparative effectiveness research design and methods as a faculty associate at the Johns Hopkins University. He was previously chief medical officer of a managed care organization and has surveyed health plans for a major national accrediting organization. He has published research in areas that include machine learning, predictive modeling, multilevel modeling, 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.
