Statistics for epidemiology
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes." Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practit…
Read More ↓Title Statements
- Full title :Statistics for epidemiology / by Nicholas P. Jewell.
Summary
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes." Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. (Midwest).
Read More ↓Edition Statements
- Publication Date:©2004.
Publication Statements
- Publisher(s):Chapman & Hall/CRC
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2004.
The Physical Object
- Description:xiv, 333 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:1584884339, 9781584884330
- oclc:ocn300244503
- LC Classification:RA652.2.M3
- Dewey Decimal:614.4/072/7
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