Case studies in Bayesian statistics

書誌事項

Case studies in Bayesian statistics

Constantine Gatsonis ... [et al.] (eds.)

(Lecture notes in statistics, v. 83, 105, 121, 140, 162, 167)

Springer-Verlag, c1993-c2002

  • [v. 1] : us
  • [v. 1] : gw
  • v. 2
  • v. 3
  • v. 4
  • v. 5
  • v. 6

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注記

[v. 1]: Papers presented at a workshop held at Carnegie-Mellon University, September 29 through October 1, 1991

v. 2: October 9-11, 1993

v. 3: The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995

v. 4: September 27-28, 1997

v. 5: September 24-25, 1999

v. 6: September 28-29, 2001

Includes bibliographical references and indexes

内容説明・目次

巻冊次

[v. 1] : us ISBN 9780387940434

内容説明

The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma- jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth- ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples.

目次

Invited Papers (with discussions).- Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements.- Bayes Analysis of Model-Based Methods for Nonignorable Nonresponse in the Harvard Medical Practice Survey.- Use of Prior Information to Estimate Costs in a Sewerage Operation.- Estimation of Bowhead Whale, Balaena mysticetus, Population Size.- Bayesian Decision Support Using Environmental Transport-And-Fate Models.- Final Discussions.- Contributed Papers.- Bayesian Analysis of the Ames Salmonella/Microsome Assay.- A Clinical Experiment in Bone Marrow Transplantation: Estimating a Percentage Point of a Quantal Response Curve.- The Composition of a Composition: Just the Facts.- Predicting Coproduct Yields in Microchip Fabrication.- Synchronicity of Whale Strandings with Phases of the Moon.- Bayesian Predictive Inference for Small Areas for Binary Variables in the National Health Interview Survey.- A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer.- Restoration and Segmentation of Rail Surface Images.- Assessing Mechanisms of Neural Synaptic Activity.- Author Index.
巻冊次

v. 2 ISBN 9780387945668

内容説明

Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.

目次

Invited Papers (with discussions).- A Bayesian Model for Organ Blood Flow Measurement with Colored Microspheres.- Elicitation, Monitoring, and Analysis for an AIDS Clinical Trial.- Accurate Restoration of DNA Sequences.- Analysis and Reconstruction of Medical Images Using Prior Information.- Contributed Papers.- Combining Information from Multiple Sources in the Analysis of a Non-Equivalent Control Group Design.- Road Closure: Combining Data and Expert Opinion.- Optimal Design for Heart Defibrillators.- Longitudinal Care Patterns for Disabled Elders: A Bayesian Analysis of Missing Data.- Bayesian Inference for the Mean of a Stratified Population When There are Order Restrictions.- Hierarchical Modelling of Consumer Heterogeneity: An Application to Target Marketing.- Author Index.
巻冊次

v. 3 ISBN 9780387949901

内容説明

This third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasising the scientific context. The papers were presented and discussed at a workshop held at Carnegie-Mellon University, and this volume - dedicated to the memory of Morrie Groot-reproduces six invited papers, each with accompanying invited discussion, and nine contributed papers with the focus on econometric applications.

目次

Invited Papers (with discussion).- 1. Probing Public Opinion: the State of Valencia Experience.- 2. Pressure Matching for Hydrocarbon Reservoirs: A Case Study in the Use of Bayes Linear Strategies for Large Computer Experiments.- 3. Hierarchical Bayes Models for Micro-Marketing Strategies.- 4. Modeling Mortality Rates for Elderly Heart Attack Patients: Profiling Hospitals in the Cooperative Cardiovascular Project.- 5. A Bayesian Approach to the Modeling of Spatial-Temporal Precipitation Data.- 6. Variable Selection Tests of Asset Pricing Models.- Contributed Papers.- 7. Modeling the History of Diabetic Retinopathy.- 8.Hierarchical Bayesian Analysis for Prevalence Estimation.- 9. Estimating the Cells of a Contingency Table with Limited Information, for Use in Geodemographic Marketing.- 10. Multiresolution Assessment of Forest Inhomogeneity.- 11. Assessment of Deleterious Gene Models Using Predictive p-values.- 12. Bayesian Inference for the Best Ordinal Multinomial Population in a Taste Test.- 13. A Random Effects Multinomial Probit Model of Car Ownership Choice.- 14. Changepoint Modeling of Longitudinal PSA as a Biomarker for Prostate Cancer.- 15. A Subjective Bayesian Approach to Environmental Sampling.
巻冊次

v. 5 ISBN 9780387951690

内容説明

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.

目次

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.Muller, 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 Stochastic 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
巻冊次

v. 6 ISBN 9780387954721

内容説明

This volume contains invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process of 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001.

目次

Invited Papers: Statistical Models for Biological Sequence Motif Discovery * Multi-Course Treatment Strategies for Clinical Trials of Rapidly Fatal Diseases * Recognition of Faces versus Greebles: A Case Study in Model Selection * Contributed Papers
巻冊次

v. 4 ISBN 9780387986401

内容説明

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.

目次

Invited Papers.- Modeling Customer Survey Data.- Functional Connectivity in the Cortical Circuits Subserving Eye Movements.- Modeling Risk of Breast Cancer and Decisions about Genetic Testing.- The Bayesian Approach to Population Pharmacokinetic/pharmacodynamic Modeling.- Contributed Papers.- Longitudinal Modeling of the Side Effects of Radiation Therapy.- Analysis of Hospital Quality Monitors using Hierarchical Time Series Models.- Spatio-Temporal Hierarchical Models for Analyzing Atlanta Pediatric Asthma ER Visit Rates.- Validating Bayesian Prediction Models: a Case Study in Genetic Susceptibility to Breast Cancer.- Mixture Models in the Exploration of Structure-Activity Relationships in Drug Design.- Population Models for Hematologic Data.- A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea.- Redesigning a Network of Rainfall Stations.- Using PSA to Detect Prostate Cancer Onset: An Application of Bayesian Retrospective and Prospective Changepoint Identification.- Author Index.
巻冊次

[v. 1] : gw ISBN 9783540940432

内容説明

The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible. The purpose of this volume is to present several detailed examples of the applications of Bayesian methods. The emphasis of each article is on the scientific or technological context of the problem being solved, and much background material is provided to complete the description of the analysis. This collection illustrates the ways in which Bayesian methods are permeating statistical practice. Noteworthy in the articles are the construction of explicit and conceptually simple models, the use of information other than the data under analysis, and the representation of uncertainty from various sources in the model.

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