Research & Publications
Dr. Murphy is a member of the biostatistics staff of the Program on Aging. With twelve years experience in the design and manufacture of clinical instrumentation and advanced training in engineering statistics, he is interested in the application of engineering tools to research on aging. Current areas of investigation include multivariate statistics for characterization of multiple co–morbidity, robust design techniques for assessing the tradeoffs of multiple medication use, and the use of hierarchical models, propensity scores, and Bayesian techniques to enhance the analysis of non-randomized interventional designs such as the fall–related utilization of healthcare services by older persons in the state of Connecticut.
Specialized Terms: Aging; Bayesian methods; Spatial modeling; Non-randomized interventional designs; Multistate modeling
Extensive Research Description
YCCI-T3 Murphy (PI) 5/01/2011 - 4/30/13
Yale Center for Clinical Investigation
Enhancing Non-Randomized Studies in Public Health: A Novel Statistical Technique to Strengthen Causality of an Obesity Prevention Intervention for Children
The goal of this project is to integrate propensity scores into a spatial modeling framework to provide greater evidence of causality in this observational study.
Role: Principal Investigator
1R21AG033130 Murphy (PI) 9/30/2010 - 8/31/2012 NIH/NIA
Enhanced Evaluation of Second Stage Translational Research
Aging; Bayes Theorem; Geriatrics; Comorbidity; Statistics; Biostatistics; Propensity Score