Case Studies in Bayesian Statistics: Volume V / Edition 1

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More About This Textbook

Overview

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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Product Details

  • ISBN-13: 9780387951690
  • Publisher: Springer New York
  • Publication date: 11/9/2001
  • Series: Lecture Notes in Statistics Series , #162
  • Edition description: Softcover reprint of the original 1st ed. 2002
  • Edition number: 1
  • Pages: 436
  • Product dimensions: 0.92 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

Invited Papers: School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment by J. Barnard, C. Frangakis, J. Hill and D.B. Rubin
• Adaptive Bayesian Designs for Dose-Ranging Drug Trials by D.A. Berry, P.Müller, A.P. Grieve, M. Smith, T. Parke, R. Balazek, N. Mitchard and M. Krams
• Modeling the Impact of Traffic-Related Air Pollution on Childhood Respitory Illness by N.G. Best, K. Ickstadt, R. Wolpert, S. Cockings, P. Elliot, J. Bennett, A. Bottle and S. Reed
• Contributed Papers: A Hierarchical Model for Estimating Distribution Profiles of Soil Texture by P.J. Abbitt and F.J. Breidt
• Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-sample Inference by J.B. Carlin
• Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Shastic Change Points by R.B. Evans, J. Sedransk and S.L. Hui
• Estimating Genotype Probabilites in Complex Pedigrees by S.A. Fernandez, R.L. Fernando, A.L. Carriquiry and B. Guldbrandtsen
• Identifying Carriers of Genetic Modifier Using Nonparametric Bayesian Methods by P.D. Hoff, R.B. Halberg, A. Sheldovsky, W.F. Dove and M.A. Newton
• Bayesian Tools for EDA and Model Building: A Brainy Study by S.N. MacEachern and M. Peruggia
• Bayesian Protein Structure Prediction by S.C. Schmidler, J.S. Liu and D.L. Brutlag
• Bayesian Analysis of Sensory Inputs of a Mobile Robot by P. Sebastiani, M. Ramoni and P. Cohen
• Hidden Markov Models for Analysis of Biological Rhythm Data by H. Seltman
• Using Prior Opinions to Examine Sample Size in Two Clinical Trials by C. Tsai and K. Chaloner

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