The existence of large longitudinal data files concerning the incidence of chronic disease offers ideal research opportunities; however, these depend on the development of new analytical methods. This volume begins by identifying the four major characteristics of model formation. It then presents in detail individual statistical models, each illustrated with numerical examples. The emphasis is on selecting and modifying appropriate and effective analytical models.

Chronic Disease Modelling: Measurement and Evaluation of the Risks of Chronic Disease Processes (Mathematics in Medicine Series)

Reference

Stallard, Eric

Manton, Kenneth G.

Words, Language & Grammar

Oxford University Press

<p>Describes and illustrates the use of fuzzy ``partition'' statistical methods, based on fuzzy set mathematical principles, as a means of analyzing high dimensional data with categorical responses. Statistical procedures such as estimation, testing of hypotheses and goodness of fit evaluation are based upon maximum likelihood principles adapted to fuzzy set mathematics and logic.</p>

Statistical Applications Using Fuzzy Sets

Science & Math

Woodbury, Max A.

Tolley, H. Dennis

Mathematics

Wiley-Interscience

Forecasting Product Liability Claims: Epidemiology and Modeling in the Manville Asbestos Case (Statistics for Biology and Health)

This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

Business & Money

Cohen, Joel E.

Economics

Springer

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