Case Studies in Bayesian Statistics

1. Front Matter

   Pages i-xiii

   PDF

2. Invited Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Modeling Customer Survey Data

      • Linda A. Clark, William S. Cleveland, Lorraine Denby, Chuanhai Liu

      Pages 3-57

   3. Functional Connectivity in the Cortical Circuits Subserving Eye Movements

      • Christopher R. Genovese, John A. Sweeney

      Pages 59-132

   4. Modeling Risk of Breast Cancer and Decisions about Genetic Testing

      • Giovanni Parmigiani, Donald A. Berry, Edwin Iversen Jr., Peter Müller, Joellen Schildkraut, Eric P. Winer

      Pages 133-203

   5. The Bayesian approach to Population pharmacokinetic/pharmacodynamic modeling

      • Jon Wakefield, Leon Aarons, Amy Racine-Poon

      Pages 205-265

3. Contributed Papers

   1. Front Matter

      Pages 267-267

      PDF

   2. Longitudinal Modeling of the Side Effects of Radiation Therapy

      • Sudeshna Adak, Abhinanda Sarkar

      Pages 269-285

   3. Analysis of hospital quality monitors using hierarchical time series models

      • Omar Aguilar, Mike West

      Pages 287-302

   4. Spatio-Temporal Hierarchical Models for Analyzing Atlanta Pediatric Asthma ER Visit Rates

      • Bradley P. Carlin, Hong Xia, Owen Devine, Paige Tolbert, James Mulholland

      Pages 303-320

   5. Validating Bayesian Prediction Models: a Case Study in Genetic Susceptibility to Breast Cancer

      • Edwin Iversen Jr., Giovanni Parmigiani, Donald Berry

      Pages 321-338

   6. Mixture Models in the Exploration of Structure-Activity Relationships in Drug Design

      • Susan Paddock, Mike West, S. Stanley Young, Merlise Clyde

      Pages 339-353

   7. Population Models for Hematologic Data

      • J. Lynn Palmer, Peter Müller

      Pages 355-366

   8. A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea

      • J. A. Royle, L. M. Berliner, C. K. Wikle, R. Milliff

      Pages 367-382

   9. Redesigning a Network of Rainfall Stations

      • Bruno Sansó, Peter Müller

      Pages 383-393

   10. Using PSA to detect prostate cancer onset: An application of Bayesian retrospective and prospective changepoint identification

       • Elizabeth H. Slate, Larry C. Clark

       Pages 395-412

4. Erratum

   1. Erratum to: Analysis of hospital quality monitors using hierarchical time series models

      • Constantine Gatsonis, Bradley Carlin, Andrew Gelman, Mike West, Robert E. Kass, Alicia Carriquiry et al.

      Pages 431-431

5. Back Matter

   Pages 413-429

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The 4th Workshop on Case Studies in Bayesian Statistics was held at the Car­ negie Mellon University campus on September 27-28, 1997. 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 four invited case studies with the accompanying discus­ sion as well as nine contributed papers selected by a refereeing process. While most of the case studies in the volume come from biomedical research the reader will also find studies in environmental science and marketing research. INVITED PAPERS In Modeling Customer Survey Data, Linda A. Clark, William S. Cleveland, Lorraine Denby, and Chuanhai LiD use hierarchical modeling with time series components in for customer value analysis (CVA) data from Lucent Technologies. The data were derived from surveys of customers of the company and its competi­ tors, designed to assess relative performance on a spectrum of issues including product and service quality and pricing. The model provides a full description of the CVA data, with random location and scale effects for survey respondents and longitudinal company effects for each attribute. In addition to assessing the performance of specific companies, the model allows the empirical exploration of the conceptual basis of consumer value analysis. The authors place special em­ phasis on graphical displays for this complex, multivariate set of data and include a wealth of such plots in the paper.

• Linda
• Volume
• bayesian statistics
• development
• form
• function
• functional
• marketing
• modeling
• statistics
• testing
• time series
• university

• Center for Statistical Sciences, Brown University, Providence, USA

  Constantine Gatsonis

• Department of Statistics, Carnegie Mellon University, Pittsburgh, USA

  Robert E. Kass, Isabella Verdinelli

• Division of Biostatistics, University of Minnesota, Minneapolis, USA

  Bradley Carlin

• Department of Statistics, Iowa State University, Ames, USA

  Alicia Carriquiry

• Department of Statistics, Columbia University, New York, USA

  Andrew Gelman

• Institute of Statistics and Decision Sciences, Duke University, Durham, USA

  Mike West

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