Case Studies in Bayesian Statistics [electronic resource] : 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.

Saved in:
Bibliographic Details
Main Authors: Gatsonis, Constantine. editor., Kass, Robert E. editor., Carlin, Bradley. editor., Carriquiry, Alicia. editor., Gelman, Andrew. editor., Verdinelli, Isabella. editor., West, Mike. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: New York, NY : Springer New York : Imprint: Springer, 2002
Subjects:Statistics., Applied mathematics., Engineering mathematics., Statistical Theory and Methods., Applications of Mathematics.,
Online Access:http://dx.doi.org/10.1007/978-1-4613-0035-9
Tags: Add Tag
No Tags, Be the first to tag this record!
id KOHA-OAI-TEST:194681
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Statistics.
Applied mathematics.
Engineering mathematics.
Statistics.
Statistical Theory and Methods.
Applications of Mathematics.
Statistics.
Applied mathematics.
Engineering mathematics.
Statistics.
Statistical Theory and Methods.
Applications of Mathematics.
spellingShingle Statistics.
Applied mathematics.
Engineering mathematics.
Statistics.
Statistical Theory and Methods.
Applications of Mathematics.
Statistics.
Applied mathematics.
Engineering mathematics.
Statistics.
Statistical Theory and Methods.
Applications of Mathematics.
Gatsonis, Constantine. editor.
Kass, Robert E. editor.
Carlin, Bradley. editor.
Carriquiry, Alicia. editor.
Gelman, Andrew. editor.
Verdinelli, Isabella. editor.
West, Mike. editor.
SpringerLink (Online service)
Case Studies in Bayesian Statistics [electronic resource] : Volume V /
description 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.
format Texto
topic_facet Statistics.
Applied mathematics.
Engineering mathematics.
Statistics.
Statistical Theory and Methods.
Applications of Mathematics.
author Gatsonis, Constantine. editor.
Kass, Robert E. editor.
Carlin, Bradley. editor.
Carriquiry, Alicia. editor.
Gelman, Andrew. editor.
Verdinelli, Isabella. editor.
West, Mike. editor.
SpringerLink (Online service)
author_facet Gatsonis, Constantine. editor.
Kass, Robert E. editor.
Carlin, Bradley. editor.
Carriquiry, Alicia. editor.
Gelman, Andrew. editor.
Verdinelli, Isabella. editor.
West, Mike. editor.
SpringerLink (Online service)
author_sort Gatsonis, Constantine. editor.
title Case Studies in Bayesian Statistics [electronic resource] : Volume V /
title_short Case Studies in Bayesian Statistics [electronic resource] : Volume V /
title_full Case Studies in Bayesian Statistics [electronic resource] : Volume V /
title_fullStr Case Studies in Bayesian Statistics [electronic resource] : Volume V /
title_full_unstemmed Case Studies in Bayesian Statistics [electronic resource] : Volume V /
title_sort case studies in bayesian statistics [electronic resource] : volume v /
publisher New York, NY : Springer New York : Imprint: Springer,
publishDate 2002
url http://dx.doi.org/10.1007/978-1-4613-0035-9
work_keys_str_mv AT gatsonisconstantineeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT kassroberteeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT carlinbradleyeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT carriquiryaliciaeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT gelmanandreweditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT verdinelliisabellaeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT westmikeeditor casestudiesinbayesianstatisticselectronicresourcevolumev
AT springerlinkonlineservice casestudiesinbayesianstatisticselectronicresourcevolumev
_version_ 1756266638954463232
spelling KOHA-OAI-TEST:1946812018-07-30T23:20:08ZCase Studies in Bayesian Statistics [electronic resource] : Volume V / Gatsonis, Constantine. editor. Kass, Robert E. editor. Carlin, Bradley. editor. Carriquiry, Alicia. editor. Gelman, Andrew. editor. Verdinelli, Isabella. editor. West, Mike. editor. SpringerLink (Online service) textNew York, NY : Springer New York : Imprint: Springer,2002.engThe 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.Invited Papers -- School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment -- Adaptive Bayesian Designs for Dose-Ranging Drug Trials -- Modeling the Impact of Traffic-Related Air Pollution on Childhood Respiratory Illness -- Contributed Papers -- A Hierarchical Model for Estimating Distribution Profiles of Soil Texture -- Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-sample Inference -- Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Stochastic Change Points -- Estimating Genotype Probabilities in Complex Pedigrees -- Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methods -- Bayesian Tools for EDA and Model Building: A Brainy Study -- Bayesian Protein Structure Prediction -- Bayesian Analysis of Sensory Inputs of a Mobile Robot -- Hidden Markov Models for Analysis of Biological Rhythm Data -- Using Prior Opinions to Examine Sample Size in Two Clinical Trials -- Author Index.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.Statistics.Applied mathematics.Engineering mathematics.Statistics.Statistical Theory and Methods.Applications of Mathematics.Springer eBookshttp://dx.doi.org/10.1007/978-1-4613-0035-9URN:ISBN:9781461300359