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Biostatistics for Epidemiologists

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eBay item number:186505861698
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN
9780873719124

About this product

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
0873719123
ISBN-13
9780873719124
eBay Product ID (ePID)
237611

Product Key Features

Number of Pages
224 Pages
Language
English
Publication Name
Biostatistics for Epidemiologists
Subject
Biostatistics, Probability & Statistics / General, Life Sciences / Biology, Epidemiology
Publication Year
1993
Type
Textbook
Subject Area
Mathematics, Science, Medical
Author
Anders Ahlbom
Format
Hardcover

Dimensions

Item Height
0.7 in
Item Weight
17.6 Oz
Item Length
9.6 in
Item Width
6.5 in

Additional Product Features

Intended Audience
Scholarly & Professional
Table Of Content
Introduction. Probability Theory. Statistical Inference. The P-Value, the P-Value Function and the Confidence Interval. Some Common Methods: Descriptive Epidemiologic Measures. Measures of Effect for Crude Analysis. Measures of Effect in Stratified Analysis. Miscellaneous: Multivariate Methods. Analysis of Effect Modification and Synergism. Several Exposure Levels. Meta Analysis. Computer Programmes. References. Appendices. Index.
Synopsis
Biostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies. It examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer programs. Biostatistics for Epidemiologists will be a useful guide for all epidemiologists and public health professionals who rely on biostatistical data in their work.

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