Date/Location: May 22 at UC Berkeley
(direction: http://www.stat.berkeley.edu/?id=58)
Venue: Refreshment at 1011 Evans Hall (4:00 pm - 4:30 pm) and two talks at 60 Evans Hall (4:30 pm - 5:30 pm)
Talk One by Nancy Wang
Title: An FDR-Controlling Procedure For Analyzing Replicated Microarray Time Course Data With The Multivariate Empirical Bayes Statistic.
Abstract:
A multivariate empirical Bayes statistic proposed by Tai and Speed has been shown useful for ranking genes based on differential expression in replicated microarray time course experiments. This is known as the MB-statistic, or the moderated Hotelling T2 statistic when all genes share a common sample size. We propose an FDR-controlling procedure for this statistic. A null distribution is obtained using the parametric bootstrap. Critical values are determined according to the empirical Bayes FDR procedure. We compared this method, through simulations, to the frequentist FDR procedure, which requires a theoretical null distribution for calculating the nominal p-values. Although our method is slightly anti-conservative; it is more robust to the variability in the estimates of the hyperparameters, when the degree of moderation is small.
Talk Two by Lioudmila (Mila) Belan
Title: Classroom Use of R: Coverage Probabilities of Poisson Interval Estimates.
Abstract:
True coverage probabilities of several nominal 95% and 99% interval estimates for the Poisson mean are computed using elementary programs in R. Among the intervals considered are frequentist confidence intervals based on normal approximation and Bayesian posterior probability intervals resulting from a non-informative prior.
About the speakers: (1) Nancy Wang received dual MS degrees in Statistics and Biochemistry from Stanford University in 2005. She is currently a PhD candidate in the Biostatistics program at UC Berkeley. Her thesis advisor is Terry Speed. Her research focus is the statistical analysis of genomic data. Today, she will talk about a project that is part of her thesis work with Dr. Speed, on the analysis of microarray time course data. (2) Lioudmila Belan is a second year graduate student in the Department of Statistics and Biostatistics at California State University, East Bay (Hayward).
Remark: There will be a dinner gathering after meeting. Please contact Kelly Fan (kelly.fan@csueastbay.edu) if you would like to join the dinner gathering.
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