This book fills the gap as an introduction to R specifically for epidemiologists. It presents all the necessary background to get started with R, work with R data objects, and manage epidemiological data in R. It then covers data analysis and graphics for addressing problems in epidemiology, including the key topics of confounding and outbreak analysis. The text is packed with exercises to enhance understanding and detailed worked examples using real data from epidemiological studies.
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This book fills the gap as an introduction to R specifically for epidemiologists. It presents all the necessary background to get started with R, work with R data objects, and manage epidemiological data in R. It then covers data analysis and graphics for addressing problems in epidemiology, including the key topics of confounding and outbreak analysis. The text is packed with exercises to enhance understanding and detailed worked examples using real data from epidemiological studies.
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