About
Terrence E. Murphy, PhD, is an Adjunct Associate Professor in Geriatric Medicine at the Yale School of Medicine, affiliated with the Claude D. Pepper Older Americans Independence Center and the Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative. His work focuses on applying biostatistical methods to aging research, including multivariate statistics for comorbidity analysis, Bayesian techniques, and interrupted time series modeling for healthcare policy evaluation.
Education: PhD in Industrial & Systems Engineering (Georgia Tech, 2004), MS in Engineering (Georgia Tech, 2000), and MS in Applied Statistics (Rochester Institute of Technology, 1998).
Research Interests: Murphy’s expertise spans geriatric biostatistics, healthcare analytics, and translational research. He develops statistical tools for non-randomized study designs, evaluates long-term care policies, and investigates outcomes in aging populations with comorbidities. Notable projects include analyzing post-COVID-19 cognitive impairment and refining fracture risk assessment for HIV-positive elders.
Grants & Leadership: Principal Investigator (PI) on NIH/NIA-funded grants exploring healthcare intervention causality and translational research evaluation. His work emphasizes methodological innovations in interrupted time series and propensity score analysis.
Labs & Collaborations: Collaborates closely with the Pepper Center and interdisciplinary teams on aging-related studies. Key collaborators include Thomas M. Gill, Margaret Pisani, and Heather Allore.
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