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Adaptive aggregation for longitudinal quantile regression based on censored history process
Most of the studies for longitudinal quantile regression are based on the correct specification. Nevertheless, one specific model can hardly perform precisely under different conditions and assessing which conditions are (approximately) satisfied to determine the optimal one is rather difficult. In...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331529/ https://www.ncbi.nlm.nih.gov/pubmed/36974595 http://dx.doi.org/10.1177/09622802231164730 |