American Statistical Association
Two-phase sampling design is a common practice in many medical studies with rare disorders. Generally, the first-phase classification is fallible but relatively cheap, while the accurate second-phase state of-the-art medical diagnosis is complex and rather expensive to perform. When constructed efficiently it offers great potential for higher true case detection as well as for higher precision. In this talk, we consider epidemiological studies with two-phase sampling design. However, instead of a single two-phase study we consider a scenario where a series of two-phase studies are done in longitudinal fashion. Efficient and simultaneous estimation of prevalence as well incidence rate are being considered at multiple time points from a sampling design perspective. Simulation study is presented to measure accuracy of the proposed estimation technique under many different circumstances. Finally, proposed method is applied to a population of elderly adults for the prognosis of major depressive disorder.
Dr. Ghosh is currently an Assistant Professor of Biostatistics in Psychiatry at Weill Cornell Medical College. Dr. Ghosh will be joining Winthrop University Hospital and Stony Brook University Medical Center as an Associate Professor soon. He obtained is his PhD in Statistics from University of Connecticut in 2006 and MS from University of Maryland Baltimore County in 2004. His research interests include generalized linear models, high dimensional variable selection, survival analysis and Bayesian statistics.
|Date:||Tuesday, November 1, 2011|
|Time:||3:30 - 4:30 P.M.|
New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York