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.
General
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