Semiparametric estimation in general repeated measures problems
By Xihong Lin, Raymond J. Carroll. 2006
128 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0606035ff7fdc370bb5932154c26c26db0d8694b
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
- Aurore Delaigle
- Peter Hall
- Stefan Sperlich
- M. José Lombardía
- H. Muller
- A. Meister
- Han Lin Shang
- Adela Martínez-Calvo
In Statistics and Probability
- Aurore Delaigle
- Peter Hall
- M. José Lombardía
- H. Muller
- Stefan Sperlich
- Wenceslao González-Manteiga
- Han Lin Shang
- Antonio Cuevas
Citations in the corpus
- Semiparametric inference in generalized mixed effects models (2008, methodology): “The model and estimation method that are proposed here overlap with example 3 of Lin and Carroll (2006) although they did not consider mixed effects models further.”
- Methodology for non‐parametric deconvolution when the error distribution is unknown (2016, background): “Li and Vuong (1998), Lin and Carroll (2006), Hall and Ma (2007), Delaigle et al. (2008) and Stefanski and McIntyre (2011) addressed measurement error problems in the setting of replicated data, and Diggle and Hall (1993) and Neumann (1997) considered cases where samples of error data are available.”