Generalized additive partial linear models for clustered data with diverging number of covariates using gee

• Main Authors: Wang, Lan, Lian, Heng, Liang, Hua
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Science::Mathematics::Statistics
• Online Access: https://hdl.handle.net/10356/105120; http://hdl.handle.net/10220/20452; http://www3.stat.sinica.edu.tw/statistica/j24n1/j24n19/j24n19.html
• Institution: Nanyang Technological University

We study flexible modeling of clustered data using marginal generalized additive partial linear models with a diverging number of covariates. Generalized estimating equations are used to fit the model with the nonparametric functions being approximated by polynomial splines. We investigate the asymp...