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MHRI-GHUCCTS Monthly Statistical Seminar: Meta-Analysis - Consumer Beware!

Date Fri, Jan 22
Time 12: 00 PM - 1: 00 PM
Location Zoom


This month's MHRI-GHUCCTS Monthly Statistical Seminar Series features Dr. Paul Kolm, Associate Director in the Department of Biostatistics and Biomedical Informatics at MedStar Health Research Institute. Dr. Kolm will discuss meta-analysis.

ABSTRACT: Meta-analysis combines the results of several studies to overcome small samples of individual studies and estimate a "true" effect size of some treatment, therapy, etc. There has been a substantial increase in the number of meta-analyses published in the past few years, but many appear to not understand the potential problems of the method and draw incorrect conclusions. We will examine the method, potential problems, and what can and cannot be inferred from the results.


Dr. Kolm is Associate Director, Department of Biostatistics and Biomedical Informatics at MedStar Health Research Institute. He has over 30 years of experience in consulting with principal investigators in the design and analysis of clinical trials, retrospective and observational studies, and large patient registries. He has served as Statistical Editor of JACC-Interventions, served on the Scientific and Clinical Support Committee of the American College of Cardiology National Cardiovascular Data Registry (NCDR), and the American Heart Association Epidemiology, Prevention, Outcomes, and Behavioral study section. While at Emory University, he was the lead biostatistician for the Grady Hospital General Clinical Research Center (GCRC) and a member of the GCRC Advisory Committee, which reviewed Emory and Grady research protocols for scientific merit. He is currently the lead biostatistician for several NIH and industry-funded studies. Dr. Kolm’s statistical areas of interest include cost-effectiveness analyses, multiple imputation methods for missing data, analysis of sparse outcomes, and multivariable regression models where the number of variables is greater than the number of participants.

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