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Measurement Error and Misclassification in Statistics and Epidemiology
Impacts and Bayesian Adjustments
Series: Chapman & Hall/CRC Interdisciplinary Statistics
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...
Published September 24th 2003 by Chapman and Hall/CRC