Fri, January 6, 2017
Public Access Category: All |
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- Time:
- 11:00am-12:00pm
- Location:
- Ramanujan Hall
- Description:
- Speaker: Dr. Samiran Ghosh,
Associate Professor of Biostatistics
Department of Family Medicine and Public Health Sciences,
Wayne State University School of Medicine
Title: “ON THE ESTIMATION OF THE INCIDENCE AND PREVALENCE RATE IN A TWO-PHASE LONGITUDINAL SAMPLING DESIGN”
Abstract:
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.
- Time:
- 4:00pm-5:00pm
- Location:
- Ramanujan Hall
- Description:
- Title: Rost nilpotence
Abstract:The Rost nilpotence principle is an important tool in the study of motivic decompositions of smooth projective varieties over a field. We will introduce this principle and briefly survey the cases in which it is known to hold. We will then outline a new approach to the question using etale motivic cohomology, which helps us to give a simpler and more conceptual proof of Rost nilpotence for surfaces, generalize the known results over one-dimensional bases and sheds more light on the situation in higher dimensions. The talk is based on joint work with Andreas Rosenschon.