Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments

Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments

Gustafson, Paul

Hardcover

Series: Chapman & Hall/CRC Interdisciplinary Statistics, Book 13

Medical ReferenceProbability & Statistics

ISBN10: 1584883359
ISBN13: 9781584883357
Publisher: CRC Press
Published: Sep 25 2003
Pages: 200
Weight: 0.93
Height: 0.63 Width: 6.36 Depth: 9.50
Language: English
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.

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