A family of partial-linear single-index models for analyzing complex environmental exposures with continuous, categorical, time-to-event, and longitudinal health outcomes

BACKGROUND: Statistical methods to study the joint effects of environmental factors are of great importance to understand the impact of correlated exposures that may act synergistically or antagonistically on health outcomes. This study proposes a family of statistical models under a unified partial...

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Detalles Bibliográficos
Autores principales: Wang, Yuyan, Wu, Yinxiang, Jacobson, Melanie H., Lee, Myeonggyun, Jin, Peng, Trasande, Leonardo, Liu, Mengling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488560/
https://www.ncbi.nlm.nih.gov/pubmed/32912175
http://dx.doi.org/10.1186/s12940-020-00644-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488560/
https://www.ncbi.nlm.nih.gov/pubmed/32912175
http://dx.doi.org/10.1186/s12940-020-00644-4

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