Cargando…
Reflection on modern methods: calculating a sample size for a repeatability sub-study to correct for measurement error in a single continuous exposure
Using a continuous exposure variable that is measured with random error in a univariable linear regression model leads to regression dilution bias: the observed association between the exposure and outcome is smaller than it would be if the true value of the exposure could be used. A repeatability s...
Autores principales: | Morgan, Katy E, Cook, Sarah, Leon, David A, Frost, Chris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857752/ https://www.ncbi.nlm.nih.gov/pubmed/31329929 http://dx.doi.org/10.1093/ije/dyz055 |
Ejemplares similares
-
Reflections on modern methods: linkage error bias
por: Doidge, James C, et al.
Publicado: (2019) -
Reflection on modern methods: five myths about measurement error in epidemiological research
por: van Smeden, Maarten, et al.
Publicado: (2020) -
Reflection on modern methods: shared-parameter models for longitudinal studies with missing data
por: Griswold, Michael E, et al.
Publicado: (2021) -
Reflection on modern methods: risk ratio regression—simple concept yet complex computation
por: Mittinty, Murthy N, et al.
Publicado: (2022) -
Reflection on modern methods: when is a stepped-wedge cluster randomized trial a good study design choice?
por: Hemming, Karla, et al.
Publicado: (2020)