Publisher description for Measurement error and misclassification in statistics and epidemiology : impacts and Bayesian adjustments / Paul Gustafson.

Bibliographic record and links to related information available from the Library of Congress catalog

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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.

Library of Congress subject headings for this publication:
Error analysis (Mathematics)
Sequential analysis.
Bayesian statistical decision theory.