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Quantile Regression Analysis of Censored Longitudinal Data with Irregular Outcome-Dependent Follow-Up

In many observational longitudinal studies, the outcome of interest presents a skewed distribution, is subject to censoring due to detection limit or other reasons, and is observed at irregular times that may follow a outcome-dependent pattern. In this work, we consider quantile regression modeling...

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Bibliografische gegevens
Gepubliceerd in:Biometrics
Hoofdauteurs: Sun, Xiaoyan, Peng, Limin, Manatunga, Amita, Marcus, Michele
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4740290/
https://ncbi.nlm.nih.gov/pubmed/26237289
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12367
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