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The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the three invited case studies with the accompanying discussion as well as ten contributed pa pers selected by a refereeing process. The majority of case studies in the volume come from biomedical research. However, the reader will also find studies in education and public policy, environmental pollution, agricul ture, and robotics. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed ucational policy, clinical trials design, and environmental epidemiology, respectively. 1. In School Choice in NY City: A Bayesian Analysis ofan Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data. 2. In Adaptive Bayesian Designs for Dose-Ranging Drug Trials D. Berry, P. Mueller, A. Grieve, M. Smith, T. Parke, R. Blazek, N.
The series of workshops Case Studies in Bayesian Statistics at Carnegie
Mellon University is unique in devoting an entire meeting to extended presentation
and discussion of scientific investigations in which statisticians play
central roles within integrated, cross- disciplinary teams. The goal has
been to elucidate the interplay between Bayesian theory and practice, and
thereby identify successful methods and indicate important directions for
future research. This volume contains the four invited case studies, with
accompanying discussion, and nine contributed papers, from the 4th workshop,
which was held September 27-28, 1997. While most of the case studies in
this volume come from biomedical research, the reader will also find studies
in environmental science and marketing research. Students and teachers
of statistics, research statisticians, and investigators from other fields
should find a wealth of ideas and methods in this series of case studies.
