Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines

By Jianhua Z. Huang, Lian-Shan Zhang, Lan Zhou. 2007

65 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9efbc97a8381af377581e8810806560ea7000467

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shujie Ma
2. Qiongxia Song
3. Li Wang
4. Lan Wang
5. Lijian Yang
6. Peter X.-K. Song

In Statistics and Probability

1. Shujie Ma
2. Qiongxia Song
3. Li Wang
4. Lan Wang
5. Lijian Yang
6. Peter X.-K. Song
7. Hua Liang

Citations in the corpus

• GEE analysis of clustered binary data with diverging number of covariates (2011, background): “…linear model specification has been investigated by Lin and Carroll (2001a, 2001b), Lin and Ying (2001), He, Zhu and Fung (2002), Fan and Li (2004), Chiou and M¨uller (2005), Wang, Carroll and Lin (2005), Chen and Jin (2006), He, Fung and Zhu (2006) and Huang, Zhang and Zhou (2007), among others.”
• Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data (2013, methodology): “1 can be proved similarly to Lemmas A2 and A3 in Huang, Zhang and Zhou [14] and are thus omitted.”