Statistics for Epidemiology

This graduate textbook explains the collection and analysis of data that speak to relationships between the occurrence of diseases and various descriptive characteristics of individuals in a population.

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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 studies, they do need more than an encyclopedia of "recipes."Statistics for E

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Introduction. Measures of Disease Occurrence. The Role of Probability on Observational Studies. Measures of Disease-Exposure Association. Study Designs. Assessing Significance in a 2 x 2 Table. Estimation and Inference for Measures of Association. Causal Inference and Extraneous Factors: Confounding and Interaction. Control of Extraneous Factors. Interaction. Exposures at Several Discrete Levels. Regression Models Relating Exposure to Disease. Estimation of Logistic Regression Model Parameters. Confounding and Interaction Within Logistic Regression Mode. Epilogue - the Examples.