Reflection on modern methods: five myths about measurement error in epidemiological research
Published 29 April 2020 Epidemiologists are often confronted with datasets to analyse which contain measurement error due to, for instance, mistaken data entries, inaccurate recordings and measurement instrument or procedural errors. If the effect of measurement error is misjudged, the data analyses are hampered and the validity of the study’s inferences may be affected. In this paper, we describe
https://www.lupop.lu.se/article/reflection-modern-methods-five-myths-about-measurement-error-epidemiological-research - 2025-05-15