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Correcting for measurement error in fractional polynomial models using Bayesian modelling and regression calibration, with an application to alcohol and mortality
Exposure measurement error can result in a biased estimate of the association between an exposure and outcome. When the exposure–outcome relationship is linear on the appropriate scale (e.g. linear, logistic) and the measurement error is classical, that is the result of random noise, the result is a...
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| Udgivet i: | Biom J |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6511281/ https://ncbi.nlm.nih.gov/pubmed/30892741 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201700279 |
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