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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 studie…
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. The author uses a…
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. The author uses a…
"This text provides detailed advice on how to design an epidemiological study; discusses all aspects of analysis, from the descriptive to the advanced; includes computer listings with interpretation; and gives an extensive set of references and exercises with solutions."--BOOK J…
Statistical Thinking in Epidemiology
by ProQuest (Firm), Gilthorpe, Mark S., Tu, Yu-Kang
0
Type: Book
"There are extensive references to the literature, both in statistics and in medicine. This is a demanding text, not mathematically but for the subtlety of the issues canvassed, some of which remain controversial. Should any reader come to this text thinking that the interpretat…