W
Wai Yin Yeung
Researcher at Hoffmann-La Roche
Publications - 4
Citations - 52
Wai Yin Yeung is an academic researcher from Hoffmann-La Roche. The author has contributed to research in topics: Linear model. The author has an hindex of 4, co-authored 4 publications receiving 43 citations. Previous affiliations of Wai Yin Yeung include Fylde College, Lancaster University.
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Bayesian adaptive dose-escalation procedures for binary and continuous responses utilizing a gain function.
TL;DR: A Bayesian adaptive approach based on one binary response (occurrence of a DLE) and one continuous response (a measure of potential efficacy) per subject is described and evaluated, finding comparable performance to alternative approaches using efficacy and safety for dose‐finding.
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Bayesian adaptive dose-escalation designs for simultaneously estimating the optimal and maximum safe dose based on safety and efficacy.
Wai Yin Yeung,Bruno Reigner,Ulrich Beyer,Cheikh Diack,Daniel Sabanés Bové,Giuseppe Palermo,Thomas Jaki +6 more
TL;DR: D dose-escalation designs that incorporate both the dose-limiting events and dose- Limiting toxicities (DLTs) and indicative responses of efficacy into the procedure are introduced.
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Model-Based dose escalation Designs in R with crmPack
TL;DR: The R package crmPack provides a simple and unified object-oriented framework for model-based dose escalation designs that enables the standard use of such designs, while being able to flexibly adapt and extend them.
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Imbalance properties of centre-stratified permuted-block and complete randomisation for several treatments in a clinical trial
TL;DR: For both randomisation schemes, analytical approaches are investigated assuming that the patient recruitment process follows a Poisson-gamma model, and a combined analytical/approximate approach is used to speed up the calculations.