Ebook: Case Studies in Bayesian Statistics: Volume V

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.

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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.

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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.
Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment....Pages 3-97
Adaptive Bayesian Designs for Dose-Ranging Drug Trials....Pages 99-181
Modeling the Impact of Traffic-Related Air Pollution on Childhood Respiratory Illness....Pages 183-259
Front Matter....Pages 261-261
A Hierarchical Model for Estimating Distribution Profiles of Soil Texture....Pages 263-278
Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-Sample Inference....Pages 279-290
Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Stochastic Change Points....Pages 291-307
Estimating Genotype Probabilities in Complex Pedigrees....Pages 309-328
Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methods....Pages 329-343
Bayesian Tools for EDA and Model Building: A Brainy Study....Pages 345-362
Bayesian Protein Structure Prediction....Pages 363-378
Bayesian Analysis of Sensory Inputs of a Mobile Robot....Pages 379-395
Hidden Markov Models for Analysis of Biological Rhythm Data....Pages 397-405
Using Prior Opinions to Examine Sample Size in Two Clinical Trials....Pages 407-421
Back Matter....Pages 423-438

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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.
Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment....Pages 3-97
Adaptive Bayesian Designs for Dose-Ranging Drug Trials....Pages 99-181
Modeling the Impact of Traffic-Related Air Pollution on Childhood Respiratory Illness....Pages 183-259
Front Matter....Pages 261-261
A Hierarchical Model for Estimating Distribution Profiles of Soil Texture....Pages 263-278
Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-Sample Inference....Pages 279-290
Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Stochastic Change Points....Pages 291-307
Estimating Genotype Probabilities in Complex Pedigrees....Pages 309-328
Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methods....Pages 329-343
Bayesian Tools for EDA and Model Building: A Brainy Study....Pages 345-362
Bayesian Protein Structure Prediction....Pages 363-378
Bayesian Analysis of Sensory Inputs of a Mobile Robot....Pages 379-395
Hidden Markov Models for Analysis of Biological Rhythm Data....Pages 397-405
Using Prior Opinions to Examine Sample Size in Two Clinical Trials....Pages 407-421
Back Matter....Pages 423-438
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