Measurement Error and Misclassification in Statistics and Epidemiology - Impacts and Bayesian Adjustments (Hardcover)

Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments examines the consequences and Bayesian remedies in those cases where the explanatory variable cannot be measured with precision.

The author explores both measurement error in continuous variables and misclassification in discrete variables, and shows how Bayesian methods might be used to allow for mismeasurement. A broad range of topics, from basic research to more complex concepts such as "wrong-model" fitting, make this a useful research work for practitioners, students and researchers in biostatistics and epidemiology."

General

Imprint:	Chapman & Hall/CRC
Country of origin:	United States
Series:	Chapman & Hall/CRC Interdisciplinary Statistics
Release date:	September 2003
First published:	2004
Authors:	Paul Gustafson
Dimensions:	234 x 156 x 16mm (L x W x T)
Format:	Hardcover
Pages:	200
ISBN-13:	978-1-58488-335-7
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Promotions
LSN:	1-58488-335-9
Barcode:	9781584883357

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