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Diagnosis and Prediction

Author: Seymour Geisser
Publisher: New York, NY : Springer New York, 1999.
Series: IMA volumes in mathematics and its applications, 114.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This volume contains refereed papers submitted by participants of the third week of a six week workshop on Statistics in the Health Sciences held by the Institute of Mathematics and its Applications in Minneapolis, Minnesota during July of 1997. This week was devoted to the closely related topics of Diagnosis and Prediction. Theoretical and applied statisticians from universities, medical and public health schools,  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Seymour Geisser
ISBN: 9781461215400 1461215404
OCLC Number: 853271318
Description: 1 online resource (ix, 148 pages).
Contents: Foreword --
Preface --
Comparison of treatments for otitis media using multiple diagnostic methods --
The utility of the Hui-Walter paradigm for the evaluation of diagnostic tests in the analysis of social science data --
On the optimal administration of multiple screening tests --
Multinomial prediction intervals for micro-scale highway emissions --
Survival analysis for interval data --
Bayesian interim analysis of Weibull regression models with Gamma frailty --
Monte Carlo minimization for one-step-ahead sequential control --
Multivariate discrete models for longevity in twins --
List of Participants.
Series Title: IMA volumes in mathematics and its applications, 114.
Responsibility: edited by Seymour Geisser.

Abstract:

This volume contains refereed papers submitted by participants of the third week of a six week workshop on Statistics in the Health Sciences held by the Institute of Mathematics and its Applications in Minneapolis, Minnesota during July of 1997. This week was devoted to the closely related topics of Diagnosis and Prediction. Theoretical and applied statisticians from universities, medical and public health schools, government and private research institutions, and pharmaceutical companies involved in prediction problems in the life and social sciences and in diagnostic and screening tests were brought together to discuss and exchange new results and information on these important issues. A number of papers with applications were presented and especially lively discussions ensued involving the critical issues and difficulties in using and interpreting diagnostic tests and implementing mass screening programs. Both frequentist and Bayesian approaches were employed. The importance of predicting or controlling future events such as survival, comparative survival and survival post intervention for a disease or even for certain biological or natural events is growing rapidly. This area of concern was also represented by participants who presented work that devised predictive methodology for a variety of problems mainly from a Bayesian perspective.

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