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Statistical methods and R code for correcting measurement error and misclassification in epidemiologic studies, including regression calibration, longitudinal analysis, survival models, and population attributable risk.

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Measurement Error and Misclassification

Statistical methods and R code developed by Dr. Molin Wang's group and collaborators for correcting measurement error and misclassification in epidemiologic studies.

Available methods

Method Language Purpose
Regression calibration R Correct exposure measurement error using regression calibration with validation study data.
Longitudinal analysis with GEE R Correct exposure measurement error in GEE analyses of time-varying exposures and longitudinal continuous outcomes.
Propensity score-adjusted Cox regression R Correct exposure misclassification in Cox regression analyses adjusted for propensity scores.
Partial population attributable risk R Correct misclassification bias in estimation and inference for partial population attributable risk (PPAR).

About

Statistical methods and R code for correcting measurement error and misclassification in epidemiologic studies, including regression calibration, longitudinal analysis, survival models, and population attributable risk.

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1 watching

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