Generalized additive partial linear models for clustered data with diverging number of covariates using gee
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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| 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 |