17 citations · 42 across the 5 of their papers we have counts for
5 papers
SAM: Self-adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials
Peng Yang, Yuansong Zhao, Lei Nie +2
Mixture priors provide an intuitive way to incorporate historical data while accounting for potential prior-data conflict by combining an informative prior with a non-informative p…
Optimal Bayesian hierarchical model to accelerate the development of tissue-agnostic drugs and basket trials
Liyun Jiang, Lei Nie, Fangrong Yan +1
Tissue-agnostic trials enroll patients based on their genetic biomarkers, not tumor type, in an attempt to determine if a new drug can successfully treat disease conditions based o…
Elastic Priors to Dynamically Borrow Information from Historical Data in Clinical Trials
Liyun Jiang, Lei Nie, Ying Yuan
Use of historical data and real-world evidence holds great potential to improve the efficiency of clinical trials. One major challenge is how to effectively borrow information from…
The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework
Zhiwei Zhang, Lei Nie, Guoxing Soon +1
Predictive or treatment selection biomarkers are usually evaluated in a subgroup or regression analysis with focus on the treatment-by-marker interaction. Under a potential outcome…
Likelihood reweighting methods to reduce potential bias in noninferiority trials which rely on historical data to make inference
Lei Nie, Zhiwei Zhang, Daniel Rubin +1
It is generally believed that bias is minimized in well-controlled randomized clinical trials. However, bias can arise in active controlled noninferiority trials because the infere…