Ruizhe Yin
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Ruizhe Yin's research focuses on statistical methods for clinical trial simulations and survival analysis. Their work addresses the complexities of time-to-event data, particularly when dealing with patient follow-up times and the estimation of dropout rates in trials with survival endpoints. Yin has investigated novel tests for non-proportional hazards, contributing to more accurate modeling of survival data. Their recent publications include work on patient follow-up time distribution in clinical trial simulations and advanced topics in survival analysis, such as restricted distance covariance tests and new estimation methods for dropout rates.
Metrics
- Publications: 2
Selected Publications
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A note on patient follow-up time distribution in clinical trial simulations with survival endpoints (2026)
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Two Topics in Survival Analysis: Restricted Distance Covariance Test for Non-proportional Hazard and A New Estimation for Dropout Rate (2025)Journal of the Arkansas Academy of Science OpenAlex
Collaboration Network
Top Collaborators
- A note on patient follow-up time distribution in clinical trial simulations with survival endpoints
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