Teaching about measurement error

Tutorials and tools for learning about handling measurement error in the statistical analysis

Videos: STRATOS TIPS on Measurement Error

Part 1: What is measurement error?

Part 2: Why does measurement error matter?

Part 3: What can we do about measurement error?

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 exposures

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 epidemiology

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)