Non-Fiction Books:

Measurement Error and Misclassification in Statistics and Epidemiology

Impacts and Bayesian Adjustments
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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."

Author Biography:

Paul Gustafson (University of British Columbia, Vancouver, Canada) (Author)
Release date Australia
September 25th, 2003
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Illustrations
20 Tables, black and white; 39 Illustrations, black and white
Pages
200
Dimensions
156x234x16
ISBN-13
9781584883357
Product ID
3921344

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