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Statistics and Biostatistics Seminars 2000 - 2001
Fall 2000
- Tuesday, September 26
Prof. Vladimir Vinogradov,
Department of Mathematics, Ohio University, Athens, Ohio
- Tuesday, October 10
Prof. M.C. Agrawal,
Department of Statistics, Delhi
University, India and Department of Statistics,
University of Akron, Akron, Ohio
Efficient imputation-based predictive ratio-type estimation
with sub-sampling of non-respondents
Thursday, October 19 (Biostatistics Seminar)
Gary A. Chase, Ph.D.,
Department of Biostatistics and Research Epidemiology, Henry Ford Health
Sciences Center
Regional Inference Approaches to Human Gene Mapping
Tuesday, October 24
Prof. Hal Stern,
Department of Statistics, Iowa State University, Ames, IA
Model selection and model checking for generalized linear mixed models
Tuesday, October 31
Prof. Ronald H. Randles,
Department of Statistics, University of Florida, Gainesville, FL
A Simpler, Affine-Invariant, Multivariate, Distribution-Free Sign Test
Thursday, November 2 (Biostatistics Seminar)
Dr. Fangyi Luo,
Proctor and Gamble, Pharmaceuticals Division
Generalized Estimating Equations Analysis for Correlated Ordinal
Response Data
Thursday, November 9
James Rogers,
Department of Statistics, Ohio State University
Confidence Sets in Genetics and Toxicology
Thursday, November 16 (Biostatistics Seminar)
Prof. Wanzu Tu,
Division of Biostatistics, Indiana University School of Medicine,
Indianapolis, IN
A bootstrap pairwise comparison for the means of skewed data
Tuesday, November 21 (Joint with Department of Marketing, Fisher
School of Business)
Prof. Marcus Sobel,
Department of Statistics, Temple University, Philadelphia, PA
Nonparametric Bayesian Methods For Analyzing Consumer Preference
Models
Winter 2001
Tuesday, January 30
Peter Craigmile,
Department of Statistics, University of Washington, Seattle
Wavelet Based Estimation for Trend Contaminated Long Memory Processes
Thursday, February 1
Ms. Fei Zou,
Department of Statistics, University of Wisconsin-Madison
On Empirical Likelihood for a Semiparametric Mixture Model, with Application to Quantitative Trait Loci Analysis
Tuesday, February 6
Jennifer Bryan,
Department of Biostatistics, University of California, Berkeley, CA
Gene Expression Analysis from DNA Microarrays
Thursday, February 8
Brian Caffo,
Department of Statistics, University of Florida, Gainesville, FL
A Markov Chain Monte Carlo Algorithm For Approximating Exact
Conditional Probabilities
Tuesday, February 13
Lei Sun,
Department of Statistics, University of Chicago
Pedigree Error Detection and Relationship Estimation
for Genetic Linkage Studies
Thursday, February 15
Somesh Chattopadhyay,
Department of Statistics, University of Virginia, Charlottesville, VA
A Novel Approach to Estimating Hormonal Pulse-times and Structural
Parameters
Tuesday, February 20
Xiao-Gang Su,
Department of Statistics, University of California, Davis, CA
Multivariate Survival Trees
Thursday, February 22
Omer Ozturk,
Department of Statistics, The Ohio State University
Rank Regression in Ranked-Set Samples
Tuesday, February 27
Dan Spitzner,
Department of Statistics, University of North Carolina, Chapel Hill
Selecting an Estimator to Meet Multiple Goals in Hierarchical GLMs
Thursday, March 1
Dr. M. Kathleen Kerr,
The Jackson Laboratory, Bar Harbor, ME
Experimental Design and Statistical Inference for cDNA Microarrays
Friday, March 2
Prof. Lynne Stokes,
Department of Management Science and Information Systems,
University of Texas, Austin, TX
Estimating the number of classes using auxiliary information
Thursday, March 8
Ernest Parfait Fokoue,
University of Glasgow, United Kingdom
Aspects of Bayesian Inference by Posterior
Simulation for some Latent Structure Models.
Spring 2001
Tuesday, April 17
Dr. Ping Hu,
Biometry Research Group, National Cancer Institute, Bethesda, MD
Estimating the Parameters in the Cox Model when Covariate Variables are
Measured with Error
Thursday, April 19 Joint with the OSU Math & Stat
learning Center
Prof. James Harner,
Chair, Department of Statistics, University of West Virginia,
Morgantown, WV
An Intelligent Distributed Environment for Adaptive Learning
(IDEAL)
Tuesday, April 24 New Room: Dreese Lab 260
Joint with Interdisciplinary
Research Seminar in Statistical Signal and Image Processing
Prof. Brani Vidakovic,
Department of Industrial & Systems Engineering, Georgia Institute of
Technology, Atlanta, GA
Wavelet based processing of geophysics signals: Anova-like
decompositions and (multi)fractality assessment
Tuesday, May 1 Room 518A, James Cancer Hospital
and Solove Research Institute
John Weinstein,,
Group Chief, Laboratory of Molecular Pharmacology,
National Cancer Institute, NIH, Bethasda, MD
Gene expression profiling for drug discovery and Selection of Therapy
Thursday, May 3 New Room: Dreese Lab 260
Prof. Joseph S. Verducci and Dr. Jeffrey Bjoraker,,
Department of Statistics, The Ohio State University and Leadscope, Inc.
Using Random Trees to Identify Key Chemical Assemblies Associated with
Biological Activity
Tuesday, May 8 New Room: Dreese Lab 260
Dave Cameron, ,
Director of Analytical Services, Merkle Database Marketing, Lanham MD
Applications of Statistics in Database Marketing
Thursday, May 10
Cleveland Clinic Foundation, Ohio State University, Case Western
Reserve University
Joint Biostatistical Symposium
Hosted by Cleveland Clinic Foundation at the Lerner Research Institute
(Cleveland)
PDF version of announcement.
Tuesday, May 15 Room: EA 170,
Co-sponsored by the MSLC
Oded Meyer, Dept. of Statistics and Marsha
Lovett,
Dept. of Psychology, Carnegie Mellon University
Implementing a Computerized Tutor in a Statistical Reasoning Course:
Getting the Big Picture
Thursday, May 17 New Room: Dreese Lab 260
C.F. Jeff Wu, H. C. Carver Professor of Statistics, University of
Michigan, Ann Arbor, MI
Experimental Design in the New Millennium
Tuesday, May 22 New Room: Dreese Lab 260
Prof. Mark Berliner,
Department of Statistics, The Ohio State University
Newton and Bayes: Physical-Statistical Modeling of Geophysical Processes
Tuesday, May 29 Special Room: Journalism 0300
C.L. and M.D. Rustagi Memorial
Distinguished Lecture
Joint with Interdisciplinary Research Seminar in
Statistical Signal and Image Processing
Prof. Thomas Kailath,
Hitachi America Professor of Engineering, Dept. of Electrical
Engineering, Stanford University
Statistics in Signal Detection: Structure of Likelihood Ratios
Thursday, May 31 Special Time and Room:
12:30PM-1:30PM, Ramseyer Hall 0100
Peter Willett,
Sheffield University, United Kingdom
Combining Different Types of Information in Similarity Searching
and Library Design
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