The conference gets under way at 8:30am on each of Wednesday October 5 (workshops), Thursday October 6 (Plenary session – Steven Nissen), and Friday October 7 (Plenary session – Arlene Ash). Lunchtimes will be 12:15 pm – 1:30pm. Regular sessions will end at 5:15 pm on Wednesday and Thursday and at 3:15pm on Friday. In addition, the opening mixer/poster session will be on Wednesday from 6pm – 8pm and there will be a social event on Thursday evening. A detailed listing of the conference program will be available in early June.

Invited Session 1
New Developments in the Analysis of Incomplete Longitudinal Data
Organizer: Ofer Harel, University of Connecticut; Recai Yucel, State University of New York at Albany
Chair: Recai Yucel, State University of New York at Albany
  Speakers: Joseph W. Hogan, Brown University
Informative priors and sensitivity analysis for longitudinal clinical trials with dropout

James Carpenter, London School of Hygiene and Tropical Medicine
Relevant, accessible sensitivity analysis using multiple imputation

Eric Tchetgen, Harvard University
Multiply-robust adjustment for dependent drop-out in longitudinal studies
  Discussant: Roderick J. Little, University of Michigan
Invited Session 2
Spatial Methods for Health Policy Research
Organizer & Chair: Brian Neelon, Duke University
  Speakers: Andrew Lawson, Medical University of South Carolina
Latent spatial grouping in Bayesian AFT modeling

Ying MacNab, University of British Columbia
Identification in Bayesian disease mapping and spatial regression

Peter Congdon, Queen Mary University of London
Spatial Path Models with Multiple Indicators and Causes: Population Psychiatric Outcomes in US Counties

Brian Reich, North Carolina State University
Bayesian spatial quantile regression for projecting effects of climate change on onzone concentration
Invited Session 3
Investigating Treatment Effect Heterogeneity in Mental Health
Organizer & Chair: Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
  Speakers: Frank Yoon, Harvard Medical School
Heterogeneity of the impact of mental health parity

Joseph Kang, Northwestern University
Tree-structured analysis of differential treatment effects

Juned Siddique, Northwestern University
Comparative Effectiveness of Medication vs. CBT in Depressed Low-income Women

Daniel Almirall, University of Michigan
Using Structural Nested Mean Models to Examine Time-varying Moderators of the Effect of Substance Use Treatment
  Discussant: Tom Belin, University of California at Los Angeles
Invited Session 4
Analytic Challenges in Complex Longitudinal Data from VA-related Health Services Research
Organizer & Chair: Maren Olsen, Center for Health Services Research in Primary Care
  Speakers: Cynthia Coffman, Durham VA Medical Center
Longitudinal Analysis of Real-time Momentary Pain Data in a Cohort of Osteoarthritis Patients

Don Hedeker, University of Illinois at Chicago
Mood Changes Associated with Smoking in Adolescents: An Application of a Mixed-Effects Location Scale Model for Longitudinal Ecological Momentary Assessment (EMA) Data

Kush Kapur, Hines VA Hospital
Sample Size Determination for Longitudinal Binary Data

Siu Hui, Indiana University
Analyzing VA Data - Promises and Challenges
Invited Session 5
Innovations in Randomized Experiments & Quasi-Experimental Studies in Health Policy
Organizer & Chair: Amelia M. Haviland, RAND Corporation
  Speakers: Susan Paddock, RAND Corporation
Analysis of post-treatment outcomes in group therapy studies under open enrollment

Claude Setodji, RAND Corporation
Does the association between exposure to smoking in movies and adolescents' desire to smoke depend on how smoking is portrayed?: A randomized lab study with matched movie clips

Beth Ann Griffin, RAND Corporation
Evaluating the comparative effectiveness of promising treatment programs for adolescents in face of differential follow-up

Alan Zaslavsky, Harvard Medical School
Assessing effects of survey mode on healthcare survey responses through experimental manipulation of order

Marc Elliott, RAND Corporation
A randomized experiment to increase response rates to a healthcare survey among individuals with a high predicted probability of preferring Spanish
Invited Session 6
Bayesian Clinical Trials: Using Priors and Planning for Post-Regulatory Translation
Organizer & Chair: Kelly Zou, Pfizer, Inc.
  Speakers: Telba Irony, Food and Drug Administration
Bayesian Medical Device Clinical Studies in the Regulatory Setting

Scott M. Berry, Berry Consultants
Bayesian Meta-Analyses for Comparative Effectiveness and Coverage Decisionsand

Recai Yucel, State University of New York at Albany
Improving the coherence of sequential imputation via calibration

Brian P. Hobbs, University of Texas at M.D. Anderson Cancer Center
Commensurate Priors for Incorporating Historical Information in Clinical Trials using General and Generalized Linear Models
Invited Session 7
Recent Developments in Modeling Random Effects in Health Outcomes Data
Organizer: Yulei He, Harvard Medical School
Chair: Christopher Schmid, Tufts University Medical Center
  Speakers: Eloise Kaizar, Ohio State University
What to shrink? Random Effects in Discrete Data Meta-Analysis

Yulei He, Harvard Medical School
Classifying hospitals on process performance measures using flexible random-effects models

Yisheng Li, University of Texas at M.D. Anderson Cancer Center
Center-adjusted inference for a nonparametric Bayesian random effect distribution
  Discussant: Don Hedeker, University of Illinois at Chicago
Invited Session 8
Innovative Methods of Random Assignment
Organizer & Chair: Ben Hansen, University of Michigan
  Speakers: Tom Belin, University of California at Los Angeles
Integrating experimental-design principles into community-partnered participatory research on disseminating evidence-based depression care in underserved urban areas

Robert A. Greevy, Jr., Vanderbilt University
Matched randomization in RCTs where subjects trickle in one at a time or in small batches

Ryan T. Moore, University of California, Berkley
Alternatives to the Pocock-Simon method for trickle-in random assignment

Zhenzhen Xu, University of Michigan
Propensity Score Matching in Randomized Clinical Trials
  Discussant: Thomas Love, Case Western Reserve University