3 citations · 5 across the 4 of their papers we have counts for
4 papers
Mixed Effects Mixture of Experts: Modeling Double Heterogeneous Trajectories
Xinkai Yue, Xiaodong Yan, Haohui Han +1
Linear mixed-effects model (LMM) is a cornerstone of longitudinal data analysis, but is limited to adeptly make heterogeneous analyses predictable under both group-specific fixed e…
Robust penalized empirical likelihood in high dimensional longitudinal data analysis
Jiaqi Li, Liya Fu
As an effective nonparametric method, empirical likelihood (EL) is appealing in combining estimating equations flexibly and adaptively for incorporating data information. To select…
Robust approach for variable selection with high dimensional Logitudinal data analysis
Liya Fu, Jiaqi Li, You-Gan Wang
This paper proposes a new robust smooth-threshold estimating equation to select important variables and automatically estimate parameters for high dimensional longitudinal data. A…
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
Liya Fu, Zhuoran Yang, Yan Zhou +1
In medical studies, the collected covariates usually contain underlying outliers. For clustered /longitudinal data with censored observations, the traditional Gehan-type estimator…