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Bayesian Biostatistics Conference 2010

Sponsored in part by the Department of Biostatistics at The University of Texas MD Anderson Cancer Center

Wednesday, January 27 - Friday, January 29, 2010

Program Committee

Donald A. Berry, Ph.D., MD Anderson Cancer Center (co-chair)
Telba Z. Irony, Ph.D.
, Center for Devices and Radiological Health, U. S. Food and Drug Administration (co-chair)
Keith A. Baggerly, Ph.D., MD Anderson Cancer Center
Kathryn Chaloner, Ph.D., University of Iowa
Stacy R. Lindborg, Ph.D.
, Eli Lilly and Company
Jeffrey S. Morris, Ph.D., MD Anderson Cancer Center
Andrew Mugglin, Ph.D., University of Minnesota
Sharon-Lise T. Normand, Ph.D., Harvard Medical School

Program

Robert C. Hickey Auditorium, R11.1400
Main Building, Floor 11, MD Anderson Cancer Center
1515 Holcombe Blvd., Houston, Texas 77030

Wednesday, January 27 

Short Course Part I: Bayesian Computation and WinBUGS
Speaker: Gary L. Rosner, Sc.D., Professor of Biostatistics, MD Anderson Cancer Center, Houston, TX

Short Course Part II: Missing Data
Speaker: Michael J. Daniels, Sc.D., Professor and Chair, Department of Statistics, University of Florida, Gainesville, FL

Short Course Part III: Bayesian Computation and WinBUGS
Speaker: Gary L. Rosner, Sc.D., Professor of Biostatistics, MD Anderson Cancer Center, Houston, TX

Keynote Address: Why Bother With Bayes?
Thomas A. Louis, Ph.D.

Professor, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD

Case Study I:  I-SPY2, a Biomarker-driven Adaptive Bayesian Phase II Drug-screening Clinical Trial

Speakers: Donald A. Berry, Ph.D., Professor and Head, Division of Quantitative Sciences, MD Anderson Cancer Center
Laura Esserman, M.D., Professor of Surgery and Radiology, University of California at San Francisco, San Francisco, CA
Discussants: Paul Gallo, Ph.D., Research Scientist, Novartis Corp, East Hanover, NJ, and Scott S. Emerson, M.D., Ph.D., Professor of Biostatistics, University of Washington, Seattle, WA

Welcome Reception
Poster Session and Discussion

Panel Discussion:

Andrew Mugglin, Ph.D., (Moderator) Research Associate Professor of Biostatistics, University of Minnesota, Minneapolis, MN
Donald A. Berry, Ph.D., Professor and Head, Division of Quantitative Sciences, MD Anderson Cancer Center
Scott S. Emerson, M.D., Ph.D., Professor of Biostatistics, School of Public Health, University of Washington, Seattle, WA
Paul Gallo, Ph.D., Research Scientist, Novartis Corp, East Hanover, NJ
Telba Z. Irony, Ph.D., Chief, General & Surgical Devices Branch, CDRH, FDA, Rockville, MD
Thomas A. Louis, Ph.D., Professor of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Sharon-Lise T. Normand, Ph.D., Professor of Biostatistics, School of Public Health, Harvard University, Boston, MA
Barbara C. Tilley, Ph.D., Professor & Director, Division of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston

Thursday, January 28  

Invited Session I: Bayesian Methods for Observational Data

Title: Bayesian Methods, Data Sources and FDRs in the Evaluation of Postmarketing Safety
Speaker: A. Lawrence Gould, Ph.D., Merck Sharp and Dohme Research Laboratories, West Point, PA

Title: Application of Bayesian Concepts in Clinical Decision Making
Speaker:
Roger Lewis, MD, Ph.D., Professor of Medicine, University of California at Los Angeles

Discussant: Karen L. Price, Ph.D., Research Scientist, Eli Lilly and Company, Indianapolis, IN

Invited Session II: Bioinformatics

Title: Multi-study Analysis of Gene Expression: Data Exploration and Bayesian Modeling
Speaker: Giovanni Parmigiani, Ph.D., Professor of Biostatistics, School of Public Health, Harvard University, Boston, MA

Title: On the Posterior Probability of Gene-Set Enrichment and Related Problems
Speaker: Michael A. Newton, Ph.D., Professor of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI

Case Study II: Interpreting Trial Results in Light of Conflicting Evidence. A Bayesian Analysis of Adjuvant Chemotherapy for Non--Small-cell Lung Cancer

Speakers: Rebecca Miksad, M.D., M.P.H., Instructor, Department of Medicine, Harvard University, Boston, MA
Mithat Gonen, Ph.D., Associate Attending Biostatistician, Memorial Sloan-Kettering Cancer Center, New York, NY

Discussants: Frank E. Harrell, Jr, Ph.D., Professor and Chair, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN
Barbara C. Tilley, Ph.D., Professor and Director, Division of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston

Case Study III: Bayesian Decision Sequential Analysis with Survival Endpoint in Phase II Clinical Trials

Speaker: Lila Zhao, Ph.D., University of Michigan

Discussants: Barbara C. Tilley, Ph.D., Professor and Director, Division of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston
Frank E. Harrell, Jr, Ph.D., Professor and Chair, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 

Contributed Session I

Title: Bayesian Adaptive Sequential Item Selection (BASIS): Applying Bayesian Decision Theory to Computerized Adaptive Testing
Speaker: Richard J. Swartz, Ph.D., Instructor, Department of Biostatistics, MD Anderson Cancer Center

Title: Semiparametric Bayes Variable Selection for Longitudinal Data
Speaker: Yeonseung Chung, Ph.D., Research Fellow, Department of Biostatisics, Harvard School of Public Health, Boston, MA

Title: Some Semiparametric Bayesian Techniques Useful in Cancer Surveillance
Speaker: Kaushik Gosh, Ph.D., Assistant Professor of Mathematical Sciences, University of Nevada at Las Vegas

Title: Multiplicity-Calibrated Bayesian Hypothesis Tests
Speaker: Mengye Guo, Ph.D., Research Associate, Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, MA

Title: Adaptive Bayesian Methods for Non-inferiority Tests and Their Implications for Sample Size Calculations
Speaker: Sujit K. Ghosh, Ph.D., Professor of Statistics, North Carolina State University, Raleigh, NC

Friday, January 29  

Contributed Session II 

Title: A Hierarchical Bayesian Design for Phase I Trials of Novel Combinations of Cancer Therapeutic Agents
Speaker: Thomas M. Braun, Ph.D., Associate Professor of Biostatistics, University of Michigan, Ann Arbor MI

Title: Integrated Two-component Prediction (ITP) Model in Bayesian Biostatistics
Speaker: Haoda Fu, Ph.D., Research Scientist, Eli Lilly and Company, Indianapolis, IN

Title: Control Covariate Imbalance in Clinical Trials with Response-adaptive Randomization
Speaker: Xuelin Huang, Ph.D., Associate Professor of Biostatistics, MD Anderson Cancer Center

Title: Principle Stratification for Evaluation of Surrogate Endpoints with Varying Control-group Response
Speaker: Corwin M. Zigler, Ph.D., Graduate Student, Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA

Invited Session III:     Clinical Trials

Title: Bayesian Adaptive Designs for Personalized Medicine: Promise, Progress, and Challenge
Speaker: J. Jack Lee, Ph.D., Professor of Biostatistics, MD Anderson Cancer Center

Title: Bayesian Adaptive Confirmatory Trials
Speaker: Scott Berry, Ph.D., Berry Consultants, College Station, TX

Poster Presentations

  1. Alberto Russu, MS – PhD student in bioengineering and bioinformatics, Department of Computer Engineering and Systems Science, University of Pavia, Pavia, Italy
    Poster Title: Development and Comparison of Bayesian Population Models for Phase I Dose Escalation
  2. Alberto Russu, MS – PhD student in bioengineering and bioinformatics, Department of Computer Engineering and Systems Science, University of Pavia, Pavia, Italy
    Poster Title: Non-inferiority Trials: The Ethics of Prior Knowledge in the Assessment of Efficacy
  3. Brian P. Hobbs, MS – PhD Candidate, Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota
    Poster Title: Hierarchical Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
  4. Charles Rowland, MS – Celera Corp., Alameda, California
    Poster Title: A Comparison of Bayesian and Frequentist Metrics in a Simulated Genome-Wide Association Study (GWAS)
  5. Chunyan Cai – Graduate Research Assistant, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Bayesian Adaptively Randomized Clinical Trial of End-stage Non–small-cell Lung Cancer
  6. Xiudong Lei, PhD – Research Statistician, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Bayesian Phase II Adaptive Randomization By Jointly Modeling Time-to-Event Efficacy and Binary Toxicity
  7. David J. Pawel – Statistician, Center for Science and Risk Assessment, Radiation Protection Division, U.S. Environmental Protection Agency, Washington, D.C.
    Poster Title: Bayesian Approaches for Quantifying Uncertainties for Radiogenic Risk Projections
  8. Dror Berel, MS – Senior Biostatistician, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
    Poster Title: EWOC Online – A Novel Web Application for Computing a Bayesian Phase I Design Method for Dose Finding with Escalation with Overdose Control
  9. Fei Jiang – Graduate Research Assistant, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Application of Group Sequential Methods with Response Adaptive Randomization Design for Comparing the Treatment Effect with Binary Outcomes—An Evaluation of Bayesian Decision-theoretic Approach
  10. Gabriela Alexandra Constantinescu, MS – Teaching Assistant, New Mexico Institute of Mining and Technology, Socorro, New Mexico
    Poster Title: Filter for Classification Methods Based on Principal Components
  11. Haiying Pang – Graduate Research Assistant, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Bayesian Modeling of Tumor Response and Survival to Design Efficient Phase III Clinical Trials
  12. Huaming Tan – Pfizer Inc., New London, Connecticut
    Poster Title: A Case Study of Model-Based Bayesian Dose Response Estimation of CP-90, 550 in Treating Rheumatoid Arthritis
  13. Inna Perevozskaya, PhD – Statistical Research and Consulting Center, Pfizer, Collegeville, Pennsylvania
    Poster Title: Applying an Indication Finder Design to a Case Study in Oncology
  14. Krishna Padmanabhan, PhD – Pfizer, Inc.
    Poster Title: A Bayesian Adaptive Design with a Utility Incorporating Two Efficacy Endpoints
  15. J. Kyle Wathen, PhD – Research Statistician, Dept of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Personalized Medicine — Using a Patient’s Biomarker Signature to Predict Response to New Therapies
  16. Lianming Wang, PhD – Assistant Professor, Department of Statistics, University of South Carolina, Columbia, South Carolina
    Poster Title: A Semiparametric Probit Model for Case 2 Interval-censored Failure Time Data
  17. Lin Huo – Graduate Research Assistant, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Bayesian Dose Finding in Drug Combinations with Discrete and Continuous Doses
  18. Lin Yang – Graduate Research Assistant, Dept of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Phase I Dose Finding in Cancer Trials Based on a Discrete Time Multistate Model
  19. Luis M. Lozano, Emilia I. de la Fuente, Cristina Vargas – University of Granada, Spain
    Poster Title: Bayesian Estimation of Suicide Risk Prevalence
  20. Luis M. Lozano, Cristina Vargas, Emilia I. de la Fuente – University of Granada, Spain
    Poster Title: Maslach Burnout Inventory: Bayesian Meta-analysis of Psychometric Properties
  21. Luis M. Lozano, Emilia I. de la Fuente – University of Granada, Spain
    Poster Title: Bayesian Analysis in Quality of Life Models
  22. Luis M. Lozano, Emilia I. de la Fuente – University of Granada, Spain
    Poster Title: Bayesian Analysis of Burnout Levels in Spanish Police
  23. Luis M. Lozan, Cristina Vargas, Emilia I. de la Fuente – University of Granada, Spain
    Poster Title: Bayesian and Maximum Likelihood Estimation Methods in Dichotomous Item Response Theory Models
  24. Marijka J. Batterham, PhD – Senior Lecturer, Centre for Statistical and Survey Methodology, University of Wollongong, Wollongong, Australia
    Poster Title: Bayesian Mixed Indirect Approach for Combining Resting Energy Expenditure (REE) Data in Heterogeneous Samples of Cancer Patients
  25. E. Michael Foster, PhD – Professor, Maternal and Child Health, University of North Carolina, Chapel Hill, North Carolina
    Poster Title: The Twain Shall Meet: Using Bayesian Methods to Defuse Biostatistical Concerns about Selections Models
  26. Xuemin Gu, PhD – Statistical Analyst, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
    Poster Title: Two-step Bayesian LASSO Strategies for Targeted Agent Development
  27. Shijie Ren, MS – Postgraduate student, School of Mathematics and Statistics, University of Sheffield, United Kingdom
    Poster Title: Bayesian Clinical Trial Designs for Survival Outcomes
  28. Eric Jonas, MS – Doctoral Student at MIT; Navia Systems, Berkeley, California
    Poster Title: Probabilistic Digital Circuits: MCMC at Gigasamples Per Second
  29. Vikash Mansinghka, PhD – Navia Systems, Berkeley, California
    Poster Title: Monte: An Interactive, Massively Parallel Probabilistic Programming System
  30. Beau Cronin, PhD – Navia Systems, Berkeley, California
    Poster Title: Cross-Categorization: A Fully Bayesian Method for Discovering Multiple Overlapping Clusterings
  31. Kay S. Tatsuoka, PhD – GlaxoSmithKline
    Poster Title: A Bayesian Multivariate Adaptive Design for Proof of Concept

© 2014 The University of Texas MD Anderson Cancer Center