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stat.ME2022
Integrative Learning of Structured High-Dimensional Data from Multiple Datasets
Changgee Chang, Zongyu Dai, Jihwan Oh +1
Integrative learning of multiple datasets has the potential to mitigate the challenge of small and large that is often encountered in analysis of big biomedical data such a…
stat.ME2022
CEDAR: Communication Efficient Distributed Analysis for Regressions
Changgee Chang, Zhiqi Bu, Qi Long
Electronic health records (EHRs) offer great promises for advancing precision medicine and, at the same time, present significant analytical challenges. Particularly, it is often t…
stat.ME2016
Scalable Bayesian Variable Selection for Structured High-dimensional Data
Changgee Chang, Suprateek Kundu, Qi Long
Variable selection for structured covariates lying on an underlying known graph is a problem motivated by practical applications, and has been a topic of increasing interest. Howev…