4 citations · 5 across the 11 of their papers we have counts for
8 papers · 1 filter
Resilience Measures for the Surrogate Paradox
Emily Hsiao, Lu Tian, Layla Parast
Surrogate markers are often used in clinical trials to evaluate treatment effects when primary outcomes are costly, invasive, or take a long time to observe. However, reliance on s…
An IPCW Adjusted Win Statistics Approach in Clinical Trials Incorporating Equivalence Margins to Define Ties
Ying Cui, Bo Huang, Gaohong Dong +2
In clinical trials, multiple outcomes of different priorities commonly occur as the patient's response may not be adequately characterized by a single outcome. Win statistics are a…
Sampling-based federated inference for M-estimators with non-smooth objective functions
Xiudi Li, Lu Tian, Tianxi Cai
We propose a novel sampling-based federated learning framework for statistical inference on M-estimators with non-smooth objective functions, which frequently arise in modern stati…
Conditional Inference for Secondary Outcomes Based on the Testing Result for the Primary Outcome in Clinical Trials
Tianyu Pan, Vivek Charu, Ying Lu +1
In clinical trials, inferences on clinical outcomes are often made conditional on specific selective processes. For instance, only when a treatment demonstrates a significant effec…
Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
Xuan Wang, Tianxi Cai, Lu Tian +1
Clinical trials or studies oftentimes require long-term and/or costly follow-up of participants to evaluate a novel treatment/drug/vaccine. There has been increasing interest in th…
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time-to-Event Outcomes Using Average Hazard with Survival Weight
Zihan Qian, Lu Tian, Miki Horiguchi +1
Given the limitations of using the Cox hazard ratio to summarize the magnitude of the treatment effect, alternative measures that do not have these limitations are gaining attentio…