This book addresses statistical challenges posed by inaccurately measuring explanatory variables, a common problem in biostatistics and epidemiology. The author explores both measurement error in continuous variables and misclassification in categorical variables. He also describes the circumstances in which it is necessary to explicitly adjust for imprecise covariates using the Bayesian approach and a Markov chain Monte Carlo algorithm. The book offers a mix of basic and more specialized topics and provides mathematical details in the final sections of each chapter. Because of its dual approach, the book is a useful reference for biostatisticians, epidemiologists, and students.

Book Reviews

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• Vegetable Oils in Food Technology (Sheffield Chemistry and Technology of Oils and Fats)
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• Biomedical Platforms: Realigning the Normal and the Pathological in Late-Twentieth-Century Medicine (Inside Technology)
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• Biomedical Engineering Principles
• The Biostatistics Cookbook
• Statistics Applied to Clinical Trials Second Edition
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