112 citations
- Eli Lilly (United States)US3 papers
- Sanofi (France)FR2 papers
- AVEO Oncology (United States)US1 paper
- Bristol-Myers Squibb (United States)US1 paper
- Celgene (United States)US1 paper
- Duke UniversityUS1 paper
- Genentech1 paper
- Janssen Research & Development (United States)US1 paper
- Johns Hopkins UniversityUS1 paper
- Merck & Co., Inc., Rahway, NJ, USA (United States)US1 paper
- Microsoft (United States)US1 paper
- Morgridge Institute for ResearchUS1 paper
8 papers
Implementation of Tripartite Estimands Using Adherence Causal Estimators Under the Causal Inference Framework
Yongming Qu, Junxiang Luo, Stephen J. Ruberg
Intercurrent events (ICEs) and missing values are inevitable in clinical trials of any size and duration, making it difficult to assess the treatment effect for all patients in ran…
Bayesian Methods for the Analysis of Early-Phase Oncology Basket Trials with Information Borrowing across Cancer Types
Jin Jin, Marie-Karelle Riviere, Xiaodong Luo +1
Research in oncology has changed the focus from histological properties of tumors in a specific organ to a specific genomic aberration potentially shared by multiple cancer types.…
A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards
Lili Wang, Xiaodong Luo, Cheng Zheng
Non-proportional hazards (NPH) have been observed recently in many immuno-oncology clinical trials. Weighted log-rank tests (WLRT) with suitably chosen weights can be used to impro…
Alternative Analysis Methods for Time to Event Endpoints under Non-proportional Hazards: A Comparative Analysis
Ray S. Lin, Ji Lin, Satrajit Roychoudhury +16
The log-rank test is most powerful under proportional hazards (PH). In practice, non-PH patterns are often observed in clinical trials, such as in immuno-oncology; therefore, alter…
Survival Function Matching for Calibrated Time-to-Event Predictions
Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin +1
Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications. Existing time-to-event (survival) models have focused prim…
Estimation of group means in generalized linear mixed models
Jiexin Duan, Michael Levine, Junxiang Luo +1
In this manuscript, we investigate the concept of the mean response for a treatment group mean as well as its estimation and prediction for generalized linear models with a subject…