Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches
By Ciprian M. Crainiceanu. 2007
150 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d256f84b3b8f9ba136715e0f6b43b6449a3d9b37
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
- H. Muller
- Jeng-Min Chiou
- Jane-ling Wang
- Weiping Zhang
- Chenlei Leng
- Jianxin Pan
- Jian Qing Shi
- Fang Yao
In Sociology and Political Science
In Statistics and Probability
- Jeng-Min Chiou
- H. Muller
- Jane-ling Wang
- Weiping Zhang
- Chenlei Leng
- Jian Qing Shi
- Jianxin Pan
- Han Lin Shang
Citations in the corpus
- Functional Data Analysis (2016, background): “Interested readers can explore the various aspects of this field through several monographs (Bosq 2000; Ramsay & Silverman 2005; Ferraty & Vieu 2006; Wu & Zhang 2006; Ramsay, Hooker & Graves 2009; Horvath & Kokoszka 2012; Hsing & Eubank 2015) and review articles (Rice 2004; Zhao, Marron & Wells…”
- Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data (2009, methodology): “Regression methods for such datasets accounting for within-subject correlation is abundant in the literature (Diggle et al. 2002; Wu and Zhang 2006).”