2 papers
stat.ME2021
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…
stat.ME2020
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…