"A Chapman & Hall book." Includes bibliographical references (pages 413-428) and indexes.

Introduction -- Misclassification in estimating a proportion -- Misclassification in two-way tables -- Simple linear regression -- Multiple linear regression -- Measurement error in regression: A general overview -- Binary regression -- Linear models with nonadditve error -- Nonlinear regression -- Error in the response -- Mixed/longitudinal models -- Time series -- Background material. "Accessible to a broad audience, this book explains how to model measurement error, the effects of ignoring it, and how to correct for it. More applied than most books on measurement error, it describes basic models and methods, their use in a range of application areas, and the associated terminology."--Jacket.