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Covers a range of topics that include Poisson regression, survival analysis, repeated measure, clustered data, longitudinal observations, and generalized linear models such as logistic regression. This book explains the importance of time-dependent confounding and introduces methods including inverse probability weighted estimators.
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.
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