Name: Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics) (en Inglés)
Price: 489017.00 COP
Availability: InStock
Author: Steve Selvin
ISBN: 9780195172805

portada Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics) (en Inglés)

Formato

Libro Físico

Editorial

Oup Usa

Autor

Steve Selvin

Año

2004

Idioma

Inglés

N° páginas

506

Encuadernación

Tapa Dura

Peso

ISBN

0195172809

ISBN13

9780195172805

N° edición

Categorías

Epidemiología y estadística médica

Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics) (en Inglés)

Steve Selvin (Autor) · Oup Usa · Tapa Dura

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Reseña del libro "Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics) (en Inglés)"

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.