2005 Presentations

Session	Speaker	Presentation
M1	Kwan Lee	Biomarker Discovery from High Dimensional Data
M-2	Wayne Anderson	The Impact of Genomics Research on Drug Discovery and Development
M-3	Xiaohong Huang	Borrowing Information from Relevant Microarray Studies for Sample Classification Using Weighted Partial Least Squares
M-4	Scott Chasalow	Building Prognostic Models Using High-Dimensional SNP Data
M-5	Russ Wolfinger	Improved Statistical Analysis of Data from Genetics, Microarrays, and Proteomics
M-6	Tom Braun	Determining a Maximumal Period of Administration for an Experimental Agent
M-7	Peter F. Thall	Some Bayesian Methods for Clinical Trial Design and Analysis
Keynote Address	Carl Peck	Advances in Modeling and Simulation and the Impact on Drug Development and Regulation
T-1	Ken Wilkins	Allowing for Possibly Non-Ignorable Non-Response when Analyzing Longitudinal Outcomes in Clinical Trials: An Alternate Approach
T-2	Dan O. Scharfstein	A Sensitivity Analysis Paradigm for Randomized Trials with Informative Censoring
T-3	Robert Goldberg-Alberts	The Multivariate Analysis of Adverse Events
T-4	David Huang	A Bayesian Approach to the Design and Analysis of a Study for Handling a Rare Event
T-5	Frank Bretz	Combining Multiple Comparisons and Modeling Techniques in Dose Response Studies
T-6	Frank Harrell	Statistical Graphics for Exploring Data, Presenting Information and Understanding Statistical Models
T-7	Leonard Oppenheimer	Learning More from Extension Studies
W-FDA	David Ross	Issues in Accelerated Approval
W-FDA	Mark Rothmann	On Some Statistical Issues Involving Clinical Trials in Oncology
W-FDA	Rajeshwari Sridhara	Statistical Challenges in Oncology Drug Development

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2005 Presentations