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Epstein Institute Seminar Series / ISE 651 Seminar
Tue, Oct 02, 2012 @ 11:30 PM - 05:00 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Naihua Duan, Professor of Biostatistics (in Psychiatry), Columbia University
Talk Title: "Design of Local Investigations in Community Practice Settings: An Effectiveness / Cost-Effectiveness Framework with Finite Patient Horizon"
Series: Epstein Institute Seminar Series
Abstract: Objectives. The ultimate goal of translational research is to move new discoveries in laboratories to treatments received by patients in communities. Despite the enormous efforts and resources devoted to basic science and clinical research, this translation is limited by the uptake of new treatments in community practice settings. This is the impetus for the recent interests in implementation studies that aim to adopt and integrate evidence-based healthcare interventions into community practice settings, akin to engineering work to improve an existing industrial system.
Methods. The adoption of a novel procedure in a community practice setting is usually a local decision guided by local knowledge unique to the specific setting. The conventional statistical framework that aims to produce generalizable knowledge is inappropriate for local investigations that aim to produce local knowledge to inform local implementation decisions. As an alternative, we propose an analytic framework based on effectiveness and cost-effectiveness for the design of these local investigations, taking into account the finite patient horizon in a community practice setting, and the prior knowledge available from local experts.
Results. When prior knowledge does not indicate a clear preference between the new and the standard procedures, a local investigation should be conducted in order to guide the choice. The proposed approach often leads to substantially smaller sample sizes than the conventional approach. General guidance and specific formulae on sample size determination are provided.
Conclusions. The statistical framework proposed herein is useful for the design of local investigations that aim to produce local knowledge.
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Joint work with Ken Cheung (Columbia University) and Jeff Cully (Houston VA HSR&D Center of Excellence
Biography: Naihua Duan, Ph.D.
Professor of Biostatistics (in Psychiatry)
Columbia University
Director and Research Scientist, Division of Biostatistics and Data Coordination,
New York State Psychiatric Institute
Dr. Naihua Duan is the Director of the Division of Biostatistics in the Department of Psychiatry at Columbia University Medical Center and the New York State Psychiatric Institute (NYSPI), Professor of Biostatistics (in Psychiatry) in the Department of Psychiatry and the Department of Biostatistics in the Mailman School of Public Health at Columbia University, and a senior research scientist at NYSPI.
Dr. Duan received a B.S. in mathematics from National Taiwan University, an M.A. in mathematical statistics from Columbia University, and a Ph.D. in statistics from Stanford University. He is an accomplished practicing biostatistician with research interests in health services research, prevention research, sample design and experimental design, model robustness, transformation models, multilevel modeling, nonparametric and semi-parametric regression methods, and environmental exposure assessment.
Dr. Duan is an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics; he is a member of the editorial board for Statistica Sinica and Health Services & Outcomes Research Methodology, and a former associate editor for the Journal of the American Statistical Association. He served on a number of national and international panels, such as the Institute of Medicineâs Committee on Organ Procurement and Transplantation Policy and Committee on Assessing the Medical Risks of Human Oocyte Donation for Stem Cell Research, the National Research Councilâs Committee on Carbon Monoxide Episodes in Meteorological and Topological Problems Areas, and the National Institute of Mental Healthâs Behavioral Sciences Workgroup.
Dr. Naihua Duan's primary research interest is in the application of biostatistics to various areas of psychiatric research, such as mental health services research, HIV prevention, clinical trials, etc.
Host: Daniel J. Epstein Department of Industrial and Systems Engineering
More Information: Seminar-Duan.doc
Location: Ethel Percy Andrus Gerontology Center (GER) - Room 309
Audiences: Everyone Is Invited
Contact: Georgia Lum
