Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

Chixiang Chen, B Shen, L Zhang, Y Xue, Ming Wang

Research output: Contribution to journalArticle

Original languageEnglish (US)
Pages (from-to)1-16
JournalBiometrics
DOIs
StatePublished - Apr 20 2019

Cite this

@article{d8091af79bb84237b5e1b900b07c31cb,
title = "Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness",
author = "Chixiang Chen and B Shen and L Zhang and Y Xue and Ming Wang",
year = "2019",
month = "4",
day = "20",
doi = "10.1111/biom.13060",
language = "English (US)",
pages = "1--16",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley-Blackwell",

}

Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness. / Chen, Chixiang; Shen, B; Zhang, L; Xue, Y; Wang, Ming.

In: Biometrics, 20.04.2019, p. 1-16.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

AU - Chen, Chixiang

AU - Shen, B

AU - Zhang, L

AU - Xue, Y

AU - Wang, Ming

PY - 2019/4/20

Y1 - 2019/4/20

U2 - 10.1111/biom.13060

DO - 10.1111/biom.13060

M3 - Article

SP - 1

EP - 16

JO - Biometrics

JF - Biometrics

SN - 0006-341X

ER -