Publications of TG 4
Freedman LS, Kipnis V on behalf of STRATOS TG4 (2018). STRengthening Analytical Thinking for Observational Studies (STRATOS): Introducing the Measurement Error and Misclassification Topic Group (TG4). Biometric Bulletin. Link
Shaw PA, Deffner, V, Keogh RH, Tooze JA, Dodd KW, Küchenhoff H, Kipnis V, Freedman LS, Measurement Error and Misclassification Topic Group (TG4) of the STRATOS Initiative (2018). Epidemiologic analyses with error-prone exposures: Review of current practice and recommendations. Annals of Epidemiology. Link
Keogh R, Shaw P, Gustafson P, Carroll R, Deffner V, Dodd K, Küchenhoff H, Tooze J, Wallace M, Kipnis V, Freedman L (2020). STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1 – basic theory, validation studies and simple methods of adjustment. Statistics in Medicine. Link
Shaw P, Gustafson P, Carroll R, Deffner V, Keogh R, Tooze J, Kipnis V, Wallace M, Küchenhoff H, Freedman L (2020). STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2 – sample size, more complex methods of adjustment and advanced topics. Statistics in Medicine. Link
Wallace M (2020). Analysis in an imperfect world. Significance. Link
Shaw Pamela A, Boshuizen H, on behalf of STRATOS TG4 (2021). STRengthening Analytical Thinking for Observational Studies (STRATOS): Updates from the Measurement Error and Misclassification Topic Group (TG4). Biometric Bulletin. Link     Â
Boe LA, Shaw PA, Midthune D, Gustafson P, Kipnis V, Park E, Sotres-Alvarez D, Freedman L, on behalf of the Measurement Error and Misclassification Topic Group (TG4) of the STRATOS Initiative (2024). Issues in implementing regression calibration analyses. American Journal of Epidemiology. Link
Philipps V, Freedman L, Deffner V, Helmer C, Jacqmin-Gadda H, Boshuizen H, Thiébaut ACM, Proust-Lima C, on behalf of the Measurement Error and Misclassification Topic Group (TG4) of the STRATOS Initiative (2026). Including an infrequently measured time-varying error-prone covariate in survival analyses: a simulation-based comparison of methods. American Journal of Epidemiology. Link
Thiébaut AC, Boshuizen HC, Midthune D, Wallace MP, Kipnis V, Gustafson P,  on behalf of the Measurement Error and Misclassification Topic Group (TG4) of the STRATOS Initiative (2026). Five misconceptions about categorizing exposure variables measured with error in epidemiological research. American Journal of Epidemiology. Link
Thiébaut ACM, Perperoglou A, Sedki M, Ferreira Guerra S, Gustafson P, Harrell FE, Sauerbrei W, Abrahamowicz M, Freedman LS, on behalf of TG2 and TG4 of the STRATOS Initiative. Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study. Biometrical Journal. (provisionally accepted)
Further information
WeblecturesÂ
Measurement Error: Impact on Nutrition Research and Adjustment for its Effects (Biometry Research Group, DCP, National Cancer Institute)
Related publications
Brakenhoff TB, Mitroiu M, Keogh RH, Moons KGM, Groenwold RHH, van Smeden M (2018). Measurement error is often neglected in medical literature: a systematic review. Journal of Clinical Epidemiology; 98: 89-97. LinkÂ
Pangratz E (2017). Measurement Error and Study Design in Air Pollution Epidemiology. Impacts and Recommendations. Bachelor thesis, Ludwig-Maximilians-Universität München, Department of Statistics. Link
van Smeden M, Lash TL, Groenwold RHH (2020). Reflection on modern methods: five myths about measurement error in epidemiologic research. International Journal of Epidemiology; 49(1): 338–347. LinkÂ