Critical aspects of the Bayesian approach to phase I cancer trials
By Beat Neuenschwander, M. Branson, T. Gsponer. Statistics in Medicine, 2008
416 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/911208a2ff8b5817c51d029f4819b3a59ec083b8
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In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Phase 1 study of single-agent WNT974, a first-in-class Porcupine inhibitor, in patients with advanced solid tumours (2021, methodology): “Dosing decisions were guided by the escalation with the overdose control principle.(18,19) A dose was used for newly enrolled patients only if the risk of excessive toxicity at that dose was <25%; dose selection was also guided by all available toxicity, pharmacokinetic, and pharmacodynamic data.”
- Biased sampling, over-identified parameter problems and beyond (2017, methodology): “In particular, the Bayesian logistic regression method (Neuenschwander, Branson, and Gsponer 2008) is one of the most commonly used designs in the pharmaceutical industry, and providing it would give the reader a taste of currently employed methods.”