5 papers
Integrating Prioritized and Non-Prioritized Structures in Win Statistics
Yunhan Mou, Scott Hummel, Yuan Huang
Composite endpoints are frequently used as primary or secondary analyses in cardiovascular clinical trials to increase clinical relevance and statistical efficiency. Alternatively,…
A Non-Bipartite Matching Framework for Difference-in-Differences with General Treatment Types
Siyu Heng, Yuan Huang, Hyunseung Kang
Difference-in-differences (DID) is one of the most widely used causal inference frameworks in observational studies. However, most existing DID methods are designed for binary trea…
Correlation Matters! Streamlining the Sample Size Procedure with Composite Time-to-event Endpoints
Yunhan Mou, Fan Li, Denise Esserman +1
Composite endpoints are widely used in cardiovascular clinical trials to improve statistical efficiency while preserving clinical relevance. The Win Ratio (WR) measure and more gen…
Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds
Yunhan Mou, Tassos Kyriakides, Scott Hummel +2
Composite endpoints consisting of both terminal and non-terminal events, such as death and hospitalization, are frequently used in cardiovascular clinical trials. The Finkelstein-S…
Testing Prioritized Composite Endpoint with Multiple Follow-up Time Examinations
Yunhan Mou, Haitao Pan, Yu Jiang +1
Composite endpoints are widely used in cardiovascular clinical trials. In recent years, hierarchical composite endpoints-particularly the win ratio approach and its predecessor, th…