1 citations · 1 across the 5 of their papers we have counts for
5 papers
Efficient Poisson Subsampling for the Partially Linear Additive Cox Model
Dongxiao Han, Liuquan Sun, Chunjie Wang +3
To address the computational and storage challenges often encountered in large-scale survival data analysis, we propose an efficient Poisson subsampling method for the partially li…
A Framework for Mediation Analysis with Massive Data
Haixiang Zhang, Xin Li
During the past few years, mediation analysis has gained increasing popularity across various research fields. The primary objective of mediation analysis is to examine the direct…
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect
Haixiang Zhang
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the…
Renewable Learning for Multiplicative Regression with Streaming Datasets
Tianzhen Wang, Haixiang Zhang, Liuquan Sun
When large amounts of data continuously arrive in streams, online updating is an effective way to reduce storage and computational burden. The key idea of online updating is that t…
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang, Lulu Zuo, HaiYing Wang +1
With the growing availability of large-scale biomedical data, it is often time-consuming or infeasible to directly perform traditional statistical analysis with relatively limited…