Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	317 - 334
Journal	Communications in Statistics - Simulation and Computation
Volume	49
Publication status	Published - 2020

Cite this

@article{d5d519089fac49848e1385a533e50c1f,

title = "Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm",

author = "Yuzhu Tian and Liyong Wang and Tang, \{Man Lai\} and Maozai Tian",

year = "2020",

language = "English",

volume = "49",

pages = "317 -- 334",

journal = "Communications in Statistics - Simulation and Computation",

issn = "1532-4141",

publisher = "Taylor \& Francis Group",

}

TY - JOUR

T1 - Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm

AU - Tian, Yuzhu

AU - Wang, Liyong

AU - Tang, Man Lai

AU - Tian, Maozai

PY - 2020

Y1 - 2020

M3 - Article

SN - 1532-4141

VL - 49

SP - 317

EP - 334

JO - Communications in Statistics - Simulation and Computation

JF - Communications in Statistics - Simulation and Computation

ER -