Teaching about measurement error
Tutorials and tools for learning about handling measurement error in the statistical analysis
Toolkit for measurement error correction
Toolkit for measurement error correction using repeated measurements
Classical, systematic, heteroscedastic and differential measurement error
Correction methods: regression calibration, moment reconstruction, multiple imputation
Error in continuous exposures and categorized continuous exposuresÂ
MEM-Explorer
User-frendly Shiny app for interactive exploration of the impacts of measurement error and misclassification
Linear regression models
Classical, linear and Berkson error in categorical and continuous covariates
Based on the STRATOS guidance document on measurement error and misclassification of variables in observational epidemiologyÂ
Other tools
Shiny app: "Impact of measurement error in a predictor" developed by Christian Gray, London School of Hygiene and Tropical Medicine (Link)
Shiny app: "Classical measurement error in linear, logit and Poisson regression" developed by Stefanie Muff, Norwegian University of Science and Technology  (Link)
Shiny app: "Berkson measurement error in linear, logit and Poisson regression" developed by Stefanie Muff, Norwegian University of Science and Technology  (Link)