A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits

BACKGROUND: In patient-based studies, biomarker data are often subject to left censoring due to the detection limits, or to incomplete sample or data collection. In the context of longitudinal regression analysis, inappropriate handling of these issues could lead to biased parameter estimates. We de...

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Detalles Bibliográficos
Autores principales: Lee, MinJae, Rahbar, Mohammad H., Brown, Matthew, Gensler, Lianne, Weisman, Michael, Diekman, Laura, Reveille, John D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765696/
https://www.ncbi.nlm.nih.gov/pubmed/29325529
http://dx.doi.org/10.1186/s12874-017-0463-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765696/
https://www.ncbi.nlm.nih.gov/pubmed/29325529
http://dx.doi.org/10.1186/s12874-017-0463-9

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