This text combines applied and theoretical approaches to the analysis of epidemiological issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less ususal areas such as the analysis of spatial distributions, survival data, proportional hazards regression and "computer-intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. A chapter on the analysis of matched data has been added for the Second Edition, which covers both discrete and continuous outcomes and explains both the classic analytic approach and the conditional logistic regression model. In all other chapters there are new applications and other revisions that make this second edition a clearer and more helpful exposition of the way statistical tools are used to analyse epidemiological data

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Book by Selvin Steve

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