3 citations · 5 across the 4 of their papers we have counts for
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stat.ME2020★ 2 cited
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…
stat.ME2020★ 3 cited
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…