Measurement Error and Misclassification in Statistics and Epidemiology

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Focusing on statistical challenges from inaccurate measurement of explanatory variables, this book delves into both continuous and categorical variable errors. It emphasizes the need for adjustments in the presence of imprecise covariates, utilizing Bayesian methods and Markov chain Monte Carlo algorithms. Covering a blend of fundamental and specialized topics, the text includes mathematical details in each chapter's final sections, making it a valuable reference for biostatisticians, epidemiologists, and students alike.