Modern Statistical Methods in Chronic Disease Epidemiology: Proceedings of a Conference Sponsored by Siam Institute for Mathematics and Society and

Prentice Ross, L. und H. Moolgavkar Suresh:

ISBN 10: 0471839043 / ISBN 13: 9780471839040

Published by John Wiley & Sons Inc, 1986

About this Item

282 p. Good condition. Reading pages are clean and without marks. Retired library exemplar, with the usual marking. Book shows slight signs of storage and usage. No dust jacket. Still good copy. 9780471839040 Sprache: Englisch Gewicht in Gramm: 789.

Seller Inventory # 214152

Bibliographic Details

• Title: Modern Statistical Methods in Chronic Disease Epidemiology: Proceedings of a Conference Sponsored by Siam Institute for Mathematics and Society and
• Publisher: John Wiley & Sons Inc
• Publication Date: 1986
• Language: English
• ISBN 10: 0471839043
• ISBN 13: 9780471839040
• Binding: Hardcover
• Seller catalogs:
  • Statistik

About this title

Synopsis

Proceedings of a conference sponsored by the SIAM Institute for Mathematics and Society, and supported by the Department of Energy. Brings together recent developments in the statistical methodology for chronic disease epidimiology. The contributors are all at the forefront of biostatistics research.

Synopsis

A tremendous amount of activity surrounding statistical methodology in chronic disease epidemiology has taken place since Mantel and Haenszel's pioneering paper in 1959. Areas of increased interest have centered around environmental and genetic risk assessment and risk extrapolation. The eleventh Research Application Conference held under the direction of SIMS brought together leading experts to discuss the theory and applications of statistical methods in chronic disease epidemiology. This book represents the proceedings of that conference. Focusing on relative risk regression, the book, as a result, includes chapters dealing with a range of issues, such as matching and covariate adjustment, choice of primary time variate and evolutionary covariates, design and analysis of prevention trials, problems involving auxiliary and incomplete covariate data, confidence region and model criticism, absolute and relative risk methods, methods in genetic epidemiology, models for carcinogenesis and cancer progression, and multivariate failure time methods.