Buonaccorsi (mathematics and statistics, U. of Massachusetts) offers an overview of the strategies used for dealing with measurement error in complex models and the use of extra data to estimate measurement error parameters. The overview examines the primary techniques and their applications on various models. It also describes the impact of measurement errors and ways to correct them in several statistical models. Specific topics include: misclassification in estimating a proportion, simple and multiple linear regression, binary regression, and nonlinear regression. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)