G
George Y. H. Chi
Researcher at Food and Drug Administration
Publications - 11
Citations - 302
George Y. H. Chi is an academic researcher from Food and Drug Administration. The author has contributed to research in topics: Reporting bias & Government. The author has an hindex of 7, co-authored 11 publications receiving 293 citations.
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Design and analysis of non-inferiority mortality trials in oncology
TL;DR: Non‐inferiority analyses that do not involve a fixed margin are proposed that are conditionally equivalent to two confidence interval procedures that relax the conservatism of two 95 per cent confidence interval testing procedures and preserve the type I error rate at a one‐sided 0.025 level.
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Multiple testings: multiple comparisons and multiple endpoints.
TL;DR: In this paper, a brief overview of some issues and some general concepts related to multiple testing problems as they are encountered in clinical drug trials is given, as well as some recent methods for handling mul...
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Designing a clinical trial to demonstrate prevention of ulcer recurrence: modelling simulation approaches.
TL;DR: The results show that a trial with endoscopies scheduled only at four month intervals is inadequate to support recurrence prevention claims; discrimination between the null and alternative hypotheses is impossible; and it is suggested that endoscopy intervals should be at most four weeks to establish a claim of ulcer prevention.
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Understanding the FDA Guidance on Adaptive Designs: Historical, Legal, and Statistical Perspectives
Qing Liu,George Y. H. Chi +1 more
TL;DR: This paper discusses some critical topical issues of adaptive designs with supporting methodological work from either existing literature, additional technical notes, or accompanying papers, and provides numerous sources of design, conduct, analysis, and interpretation bias that arise from statistical procedures.
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Industry, Government, and Academic Panel Discussion on Multiple Comparisons in a “Real” Phase Three Clinical Trial
Peter Bauer,George Y. H. Chi,Nancy L. Geller,A. Lawrence Gould,David C. Jordan,Surya Mohanty,Robert O'Neill,Peter H. Westfall +7 more
TL;DR: The goal was to develop some consensus among industry, government, and academic statisticians concerning requirements and methods for multiplicity management in typical clinical trials.