5th Annual Bayesian Biostatistics Conference
Sponsored in part by the Department of Biostatistics at The University of Texas MD Anderson Cancer Center
Monday, January 23, 2012 – Wednesday, January 25, 2012
Robert C. Hickey Auditorium
The University of Texas MD Anderson Cancer Center
1515 Holcombe Blvd, Houston, Texas 77030
Program Committee
- Donald A. Berry, PhD, Co-Chair; The University of Texas MD Anderson Cancer Center
- Telba Z. Irony, PhD, Co-Chair; CDRH, U.S. Food and Drug Administration
- Brenda L. Gaydos, PhD; Eli Lilly and Company
- Lurdes Inoue, PhD; University of Washington
- Jeffrey D. Maca, PhD; Novartis Pharmaceutical
- Jeffrey S. Morris, PhD; The University of Texas MD Anderson Cancer Center
- Dalene Stangl, PhD; Duke University
Program Highlights
Short course: Reproducible Research
Frank E. Harrell, Jr., PhD
Professor and Chair, Department of Biostatistics
Vanderbilt University School of Medicine
Keynote presentation: Bayesian Adjustment for Multiplicity and Subgroup Analysis (pdf)
James O. Berger, PhD
Arts and Sciences Professor of Statistics
Department of Statistical Science
Duke University
Session Topic: Multiple Comparisons
- Multivariate Bayesian logistic regression for clinical safety data (pdf)
William DuMouchel, PhD
Chief Statistical Scientist
Oracle Health Sciences - Nonparametric relevance determination: Identifying genes that matter (pdf)
Wesley O. Johnson, PhD
Professor, Department of Statistics
University of California at Irvine - A Bayesian subgroup analysis with a zero-enriched Polya urn scheme (pdf)
Peter Müller, PhD
Professor, Department of Mathematics
The University of Texas at Austin
Session Topic: Missing Data
- Thomas R. Belin, PhD
Professor of Biostatistics & Psychiatry and Biobehavioral Sciences
School of Public Health
University of California at Los Angeles - Michael J. Daniels, ScD
Professor and Chair, Department of Statistics
University of Florida at Gainesville - Treatment discontinuation and missing data in clinical trials: Ignorability and identifiability issues (pdf)
Roderick Little, PhD
Richard D. Remington Collegiate Professor of Biostatistics
Professor, Department of Statistics, School of Public Health
University of Michigan
Session Topic: Bayesian Methods for Evidence Synthesis to Drive Decision Making in Drug Development
- Hajun Ma, PhD
Senior Statistical Manager
Global Safety and Independent Biostatistics Group
Amgen - Fanni Natanegara, PhD
Senior Research Scientist
Eli Lilly and Company - John Scott, PhD
Statistician
Center for Biologics Evaluation and Research
U.S. Food and Drug Administration
- Optimization of dynamic treatment regimes for recurrent diseases (pdf)
Xuelin Huang, PhD
Associate Professor
Department of Biostatistics
MD Anderson Cancer Center - Bayesian 2-stage design in phase II clinical trials with time-to-event endpoint:A simulation-based decision-theoretic approach (pdf)
Lili Zhao, PhD
Research Investigator
Biostatistics Department
University of Michigan - Evaluate the probability of study success through Bayesian evidence synthesis techniques (pdf)
Hoada Fu, PhD
Statistician
Eli Lilly and Company
Session Topic: Bayesian Methods in Trial Design and Analysis
- David Ohlssen, PhD
Novartis Pharmaceutical - William Prucka, PhD
Eli Lilly and Company
Session Topic: Incorporating Biological Structure in Bayesian Modeling: Networks and Pathway Analysis
- A spatial model for the analysis of large-scale neuroimaging data (pdf)
F. DuBois Bowman, PhD
Associate Professor
Department of Biostatistics and Bioinformatics
Director, Center for Biomedical Imaging Studies
Emory University - Multi-way Gaussian graphical models with application to multivariate lattice data (pdf)
Adian Dobra, PhD
Assistant Professor, Department of Statistics
and Department of Biobehavioral Nursing & Health Systems
University of Washington - A Bayesian graphical model for single-cell cytometry data (pdf)
Yuan Ji, PhD
Associate Professor, Department of Biostatistics
MD Anderson Cancer Center - Hongzhe Li, PhD
Professor of Biostatistics
Perelman School of Medicine
University of Pennsylvania
- Hierarchical Bayesian methods for combining efficacy and safety in multiple treatment comparisons (pdf)
Bradley P. Carlin, PhD
Professor and Head
Division of Biostatistics
University of Minnesota - A Bayesian semiparametric approach to intermediate variables in causal inference(pdf)
Fan Li, PhD
Assistant Professor
Department of Statistical Sciences
Duke University - A comparison of fully Bayesian and 2-stage imputation strategies for missing covariate data (pdf)
Alexina Mason, PhD
Department of Epidemiology and Biostatistics
Imperial College of London

