STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1—Basic theory and simple methods of adjustment

Measurement error and misclassification of variables frequently occur in epidemiology and involve variables important to public health. Their presence can impact strongly on results of statistical analyses involving such variables. However, investigators commonly fail to pay attention to biases resu...

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Bibliographic Details
Published in:Statistics in medicine 2020-07, Vol.39 (16), p.2197-2231
Main Authors: Keogh, Ruth H., Shaw, Pamela A., Gustafson, Paul, Carroll, Raymond J., Deffner, Veronika, Dodd, Kevin W., Küchenhoff, Helmut, Tooze, Janet A., Wallace, Michael P., Kipnis, Victor, Freedman, Laurence S.
Format: Article
Language:English
Subjects:
Berkson error
Bias
Calibration
Causality
classical error
Computer Simulation
differential error
Epidemiology
Humans
measurement error
Measurement errors
Medical statistics
misclassification
Models, Statistical
nondifferential error
regression calibration
Research Design
sample size
SIMEX
simulation extrapolation
Variables
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