Longitudinal drop-out and weighting against its bias

Abstract Background The bias caused by drop-out is an important factor in large population-based epidemiological studies. Many studies account for it by weighting their longitudinal data, but to date there is no detailed final approach for how to conduct these weights. Methods In this study we descr...

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Detalhes bibliográficos
Main Authors: Steffen C. E. Schmidt, Alexander Woll
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2017-12-01
Colecção:BMC Medical Research Methodology
Assuntos:
Representativeness
Weighting
Drop-out
Logistic regression
MoMo
Acesso em linha:http://link.springer.com/article/10.1186/s12874-017-0446-x
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