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Creators/Authors contains: "Liu, Qingyang"

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  1. ; ; (, Computational Statistics & Data Analysis)
    Free, publicly-accessible full text available November 1, 2025
  2. ; (, Statistics in Biosciences)
    Full Text Available 
  3. ; ; ; (, Journal of Manufacturing Systems)
    Full Text Available 
  4. ; ; ; ; ; ; ; (, Journal of Manufacturing Processes)
    Full Text Available 
  5. ; (, IEEE Journal on Selected Areas in Information Theory)
    null (Ed.)
    Full Text Available 
  6. ; ; ; ; (, Pharmaceutical Statistics)
    Abstract Unblinded sample size re‐estimation (SSR) is often planned in a clinical trial when there is large uncertainty about the true treatment effect. For Proof‐of Concept (PoC) in a Phase II dose finding study, contrast test can be adopted to leverage information from all treatment groups. In this article, we propose two‐stage SSR designs using frequentist conditional power (CP) and Bayesian predictive power (PP) for both single and multiple contrast tests. The Bayesian SSR can be implemented under a wide range of prior settings to incorporate different prior knowledge. Taking the adaptivity into account, all type I errors of final analysis in this paper are rigorously protected. Simulation studies are carried out to demonstrate the advantages of unblinded SSR in multi‐arm trials. 
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