Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics Series)

Measurement Error and Misclassification provides an understanding of measurement error, the effects of ignoring it, and how to correct for these effects. The book focuses on the models and methods involved and demonstrates how they can be implemented in practice. Keeping theory to a minimum with an appendix of theoretical background, it presents numerous examples from biostatistics and epidemiology as well as ecology and the social sciences. The author implements these examples using available Stata routines and his own SAS programs. Topics covered include misclassification in estimation, measurement error in inference, predictors, and time series.Buonaccorsi John P Staff is the author of 'Measurement Error: Models, Methods, and Applications (Chapman & Hall/CRC Interdisciplinary Statistics Series)', published 2010 under ISBN 9781420066562 and ISBN 1420066560.