1 citations · 1 across the 5 of their papers we have counts for
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Distributional Balancing with Machine Learning for Clinical Trial Augmentation Using Real-World Data
Zern Ke, Mingshi Cui, Gemma Moran +1
In clinical trials, randomization of treatment and control groups is typically used to ensure the groups have similar covariate distributions on average, resulting in unbiased caus…
From Cumulative Weights to Marginal Density Ratios: Per-Protocol Estimation in Sequential Target Trial Emulation
Zern Ke, Mingshi Cui, Feng Dai +3
Sequential target trial emulation evaluates eligibility at multiple baseline times to emulate a sequence of randomized trials using observational data. Estimating per-protocol effe…
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure
Traymon E. Beavers, Ge Cheng, Yajie Duan +4
Big data, with NxP dimension where N is extremely large, has created new challenges for data analysis, particularly in the realm of creating meaningful clusters of data. Clustering…
A New Projection Pursuit Index for Big Data
Yajie Duan, Javier Cabrera, Birol Emir
Visualization of extremely large datasets in static or dynamic form is a huge challenge because most traditional methods cannot deal with big data problems. A new visualization met…