A. Russell Localio, PhD



Russell Localio, PhD

A. Russell Localio, PhD

Emeritus Associate Professor of Biostatistics

Dr. Localio's current methodological work centers on computing risk difference and relative risk estimates in complex designs such as occur in multicenter studies and meta-analyses, as well as on issues of confounding by center. His inital first-authored articles have appeared in Statistics in Medicine, American Journal of Epidemiology, Journal of Clinical Epidemiology, New England Journal of Medicine, the Journal of the Americn Medical Assocition (JAMA) and Annals of Internal Medicine

His ongoing collaborative work includes studies on the effectiveness of mammography, accuracy and reliability of multimodality radiological imaging for breast cancer, utilization and outcome of antibiotic use among children across hospitals, and effectiveness of computerized reminders for immunizations for children. He currently collaborates with investigators in general internal medicine, gastroenterology, pediatrics, cardiology, pulmonary medicine and infectious diseases (child and adult). He has served as an associate editor of Annals of Internal Medicine since 1997. His current teaching responsibilities include a full semester class (EP 521) on Statistical Methods in Epidemiological Research, which he has taught for eight years. He regularly provides formal mentoring for students in the MSCE program.

Dr. Localio joined the faculty of the CCEB in 1997. Prior to arriving at Penn, he was recognized as an authority on the methodological issues of research in the identification of medical adverse events and in medical professional liability; he has been the principal investigator of both an RO1 and an RO3 grant on this subject.


Content Area Specialties

Health services research, research methods

Methodology Specialties

Bayesian modeling,categorical data, clustered data, complex sample surveys, diagnostic testing, inter-rater reliability, measurement error problems, meta-analysis

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To understand health and disease today, we need new thinking and novel science —the kind  we create when multiple disciplines work together from the ground up. That is why this department has put forward a bold vision in population-health science: a single academic home for biostatistics, epidemiology and informatics. 

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