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Publikováno v:
Epidemiology (Cambridge, Mass.)
Supplemental Digital Content is available in the text.
Observational data are increasingly used with the aim of estimating causal effects of treatments, through careful control for confounding. Marginal structural models estimated using inverse
Observational data are increasingly used with the aim of estimating causal effects of treatments, through careful control for confounding. Marginal structural models estimated using inverse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467a412fc5957508b3cb54b8615d9cb5
Publikováno v:
Statistics in Medicine, 38(27), 5182-5196. WILEY
Statistics in Medicine
Statistics in Medicine
In randomised trials, continuous endpoints are often measured with some degree of error. This study explores the impact of ignoring measurement error, and proposes methods to improve statistical inference in the presence of measurement error. Three m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::add8dd4b67d782bbd841d488d64581a2
https://doi.org/10.1002/sim.8359
https://doi.org/10.1002/sim.8359