American Statistical Association
New York City
Metropolitan Area Chapter

Mailman School of Public Health
Columbia University
Department of Biostatistics Colloquium



Prof. Veronica Vieland
Battelle Center for Mathematical Medicine
Nationwide Children's Hospital


In the biological sciences statistical methods are commonly used for the purpose of measuring the strength of the evidence based on experimental data. The p-value is the standard measure used for this purpose, and it is almost universally interpreted by biologists as measuring the evidence against the null hypothesis. While statistical theory argues against this interpretation, there has been relatively little work in the statistical literature on evidence measurement per se as an inferential endpoint, and there are usually no practical statistical measures other than p-values available for biological applications. This leaves the biologist who is in need of a way to measure evidence without a cogent alternative to using the p-value, and it can lead to serious misinterpretation of experimental data. In this talk, I will consider some concrete challenges that arise when attempting to measure statistical evidence in the context of one particular application gene mapping for human diseases illustrating challenges to existing approaches as well as ongoing work towards a fully coherent theoretical foundation for statistical evidence measurement in the sciences.

Date: Thursday, February 12, 2009
Time: 4:00 - 5:00 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Biostatistics Computer Lab
6th Floor - Room 656
New York, New York


Refreshments will be served at 3:30 P.M. in the
Biostatistics Conference Room (R627).

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