Written by one of the top biostatisticians in the field, this volume fills a substantial niche by explaining the ideas behind the analysis of epidemiological data. Requiring only knowledge of fundamental mathematics, it covers the basic material for analyzing data that arise from simple epidemiological studies, including case-control and matched studies. Methodologically, it describes stratification techniques for handling confounding and interaction and the logistic regression model. The author uses a case-study approach, following a few simple examples through several method chapters rather than introducing a different example at each stage.
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Nicholas P. Jewell
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Zustand: New. Nicholas P. JewellStatistical 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 statisti. Artikel-Nr. 596344996
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Zustand: New. Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. This title develops the techniques for analyzing simple risk factors and disease data. It covers the logistic regression model and contrasts it with the Cox model for time-to-incidence data. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 350 pages, 47 black & white illustrations, 116 black & white tables. BIC Classification: MBNS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 236 x 164 x 23. Weight in Grams: 640. . 2003. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781584884330
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