Statistical Analysis of Epidemiologic Data - Couverture rigide

Selvin, Steve

Couverture rigide

ISBN 10 : 0195097602 ISBN 13 : 9780195097603

Editeur : Oxford University Press Inc, 1996

Synopsis

This text combines applied and theoretical approaches to the analysis of epidemiological issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less ususal areas such as the analysis of spatial distributions, survival data, proportional hazards regression and "computer-intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. A chapter on the analysis of matched data has been added for the Second Edition, which covers both discrete and continuous outcomes and explains both the classic analytic approach and the conditional logistic regression model. In all other chapters there are new applications and other revisions that make this second edition a clearer and more helpful exposition of the way statistical tools are used to analyse epidemiological data

A propos du livre

Présentation de l'éditeur

Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described. For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.

Détails de l'édition

• Éditeur: Oxford University Press Inc
• Date d'édition: 1996
• ISBN 10: 0195097602
• ISBN 13: 9780195097603
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 484
• Coordonnées du fabricant: non disponible