N
Nelson Kinnersley
Researcher at Hoffmann-La Roche
Publications - 3
Citations - 345
Nelson Kinnersley is an academic researcher from Hoffmann-La Roche. The author has contributed to research in topics: Bayesian probability & Prior probability. The author has an hindex of 3, co-authored 3 publications receiving 237 citations.
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Journal ArticleDOI
Use of historical control data for assessing treatment effects in clinical trials.
Kert Viele,Scott M. Berry,Beat Neuenschwander,Billy Amzal,Fang Chen,Nathan Enas,Brian P. Hobbs,Joseph G. Ibrahim,Nelson Kinnersley,Stacy Lindborg,Sandrine Micallef,Satrajit Roychoudhury,Laura Thompson +12 more
TL;DR: This manuscript reviews several methods for historical borrowing, illustrating how key parameters in each method affect borrowing behavior, and then, compares these methods on the basis of mean square error, power and type I error.
Journal ArticleDOI
Bayesian fitting of a logistic dose-response curve with numerically derived priors.
Les Huson,Nelson Kinnersley +1 more
TL;DR: The Bayesian analysis of a logistic dose-response curve in a Phase I study is described, and two simple and intuitive numerical approaches to construction of prior probability distributions for the model parameters are presented.
Journal ArticleDOI
Minimal Residual Disease (MRD) Assessment By Multiparametric Flow Cytometry Is Prognostic for Progression-Free Survival in Phase 1/1b Relapsed/Refractory Acute Myeloid Leukemia (AML) Patients Treated with Idasanutlin MDM2 Antagonist
Benjamin Lanza,Giovanni Martinelli,Karen W.L. Yee,Lori Jukofsky,Bernhard Reis,Steven Blotner,Mark Drummond,Norbert Vey,Karen Seiter,Michael Dickinson,Kevin R. Kelly,Margaret Kasner,Michel Theron,Jeffrey M. Venstrom,Steven A. Middleton,Lin-Chi Chen,Nelson Kinnersley,Gwen Nichols,William E. Pierceall +18 more
TL;DR: The data presented here support inclusion of MRD assessment as an early indication aligning with cCR in relapsed/refractory AML patients treated with idasanutlin and are consistent with multiparametric flow cytometry MRD serving as a surrogate for clinical activity.