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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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| Vydáno v: | Biometrics |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | 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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