Shrinkage empirical likelihood estimator in longitudinal analysis with time-dependent covariates: Application to modeling the health of Filipino children
The method of generalized estimating equations (GEE) is a popular tool for analysing longitudinal (panel) data. Often, the covariates collected are time-dependent in nature, for example, age, relapse status, monthly income. When using GEE to analyse longitudinal data with time-dependent covariates,...
Saved in:
Main Authors: | LEUNG, Denis H. Y., SMALL, Dylan S., QIN, Jing, ZHU, Min |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/1540 https://ink.library.smu.edu.sg/context/soe_research/article/2539/viewcontent/Leung_ShrinkageEmpiricalLEFilipinoChildren_2013.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
Similar Items
-
Efficient parameter estimation in longitudinal data analysis using a hybrid GEE method
by: LEUNG, Denis H. Y., et al.
Published: (2009) -
Empirical likelihood and quantile regression in longitudinal data analysis
by: Tang, C.Y., et al.
Published: (2014) -
Empirical Likelihood in Missing Data Problems
by: QIN, Jing, et al.
Published: (2009) -
An empirical likelihood approach to quantile regression with auxiliary information
by: Tang, C.Y., et al.
Published: (2014) -
Improving semiparametric estimation by using surrogate data
by: CHEN, Song Xi, et al.
Published: (2008)