Diagnosis and Prediction

ISBN-13: 9781461271840 / Angielski / Miękka / 2012 / 148 str.

Seymour Geisser

Opis

A collection of refereed papers from a six-week workshop on statistics in the health sciences, that brought together 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. A number of papers with applications were presented and particularly lively discussions ensued involving the critical issues and difficulties in using and interpreting diagnostic tests and implementing mass screening programs. The prediction or controlling future events, such as survival, comparative survival and survival post intervention for a disease or even for certain biological or natural events was also represented by participants who presented work that devised predictive methodology for a variety of problems mainly from a Bayesian perspective.

Spis treści

Comparision of treatments for otitis media using multiple diagnostic methods.- The utility of the Hui-Walter paradigm for the evaluation of diagnostic test 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.

O autorze

For this volume, 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