C
Christopher Jennison
Researcher at University of Bath
Publications - 93
Citations - 5140
Christopher Jennison is an academic researcher from University of Bath. The author has contributed to research in topics: Sample size determination & Confidence interval. The author has an hindex of 35, co-authored 90 publications receiving 4850 citations. Previous affiliations of Christopher Jennison include Durham University & Cornell University.
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Group Sequential Methods with Applications to Clinical Trials
TL;DR: A short history of sequential and group sequential methods can be found in this paper, where the authors present a road map for the application of two-sided tests for comparing two treatments with normal response of known variance.
Journal Article
On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply
S. Richardson,Peter H.R. Green,Christian P. Robert,M. Aitkin,David Cox,M. Stephens,A. Polymenis,Walter R. Gilks,A. Nobile,M. Hodgson,Anthony O'Hagan,N. T. Longford,A. P. Dawid,Anthony C. Atkinson,José M. Bernardo,Julian Besag,Stephen Brooks,S. Byers,Adrian E. Raftery,Gilles Celeux,R. C. H. Cheng,W. B. Liu,Y.-H. Chien,Edward I. George,Noel A Cressie,H.-C. Huang,M.-A. Gruet,S. C. Heath,Christopher Jennison,Andrew B. Lawson,A. Clark,Geoffrey J. McLachlan,D. Peel,Kerrie Mengersen,A. George,A. Philippe,K. Roeder,Larry Wasserman,P. Schlattmann,D. Böhning,D. M. Titterington,H. Tong,Mike West +42 more
TL;DR: In this paper, a hierarchical prior model is proposed to deal with weak prior information while avoiding the mathematical pitfalls of using improper priors in the mixture context, and a sample from the full joint distribution of all unknown variables is generated, which can be used as a basis for a thorough presentation of many aspects of the posterior distribution.
Journal ArticleDOI
Analysis of Field Experiments by Least Squares Smoothing
TL;DR: In this paper, a smoothing method was developed to estimate both the treatment effects and the unknown trend in a field plot experiment, assuming a smooth trend plus independent error model for the environmental effects in the yields of a fieldplot experiment.
Journal ArticleDOI
Interim analyses: the repeated confidence interval approach
Journal ArticleDOI
An adaptive seamless phase II/III design for oncology trials with subpopulation selection using correlated survival endpoints.
TL;DR: The proposed design adds extra flexibility by also allowing the trial to continue in all patients but with both the subgroup and the full population as co‐primary populations, and controls the Type‐I error rate at less than 2.5% when the phase II and III endpoints are different but correlated time‐to‐event endpoints.