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

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

Abstract 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...

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Bibliographic Details
Main Authors: Yuyan Wang, Yinxiang Wu, Melanie H. Jacobson, Myeonggyun Lee, Peng Jin, Leonardo Trasande, Mengling Liu
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Environmental Health
Subjects:
Environmental mixtures
NHANES
Semiparametric model
Triglyceride
Online Access:http://link.springer.com/article/10.1186/s12940-020-00644-4

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http://link.springer.com/article/10.1186/s12940-020-00644-4

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