Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments: 13 (Chapman & Hall/CRC Interdisciplinary Statistics) - Image 1

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Chapman and Hall/CRC Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments: 13 (Chapman & Hall/CRC Interdisciplinary Statistics)

Name: Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments: 13 (Chapman & Hall/CRC Interdisciplinary Statistics)
Brand: Chapman and Hall/CRC
Price: 82.17 GBP
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Description

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."

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1584883359
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues > Public Health
Domain: Amazon UK
Release Date: 25 September 2003
Listed Since: 05 February 2007

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Chapman and Hall/CRC Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments: 13 (Chapman & Hall/CRC Interdisciplinary Statistics)

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