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MHRI-GHUCCTS Monthly Statistical Seminar: Health Care Economics - Cost-effectiveness Alongside Clinical Trials

Date Fri, Apr 16
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 "Health Care Economics: Cost-effectiveness Alongside Clinical Trials".

ABSTRACT: Costs have become an important factor in medical decision-making. New therapies, treatments, medications, etc. to improve health come with a cost – often higher than the current standard of treatment. Cost-effectiveness analysis (CEA) assesses cost vs. benefit in terms of willingness to pay thresholds. We will discuss CEA concepts and statistical methods for patient-level data.


Dr. Kolm is the Associate Director of the 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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