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. ***some page have pink highlights as shown in picture***
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Restocking Fee: No
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Number of Pages: 200 Pages
Publication Name: Measurement Error and Misclassification in Statistics and Epidemiology : Impacts and Bayesian Adjustments
Language: English
Publisher: CRC Press LLC
Publication Year: 2003
Item Height: 0.6 in
Subject: Biostatistics, Probability & Statistics / General, Epidemiology, Probability & Statistics / Bayesian Analysis
Type: Textbook
Item Weight: 14.7 Oz
Subject Area: Mathematics, Medical
Item Length: 9.4 in
Author: Paul Gustafson
Item Width: 7.2 in
Series: Chapman and Hall/Crc Interdisciplinary Statistics Ser.
Format: Hardcover
