Diagnosis and Prediction

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

Inhalt
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.