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Statistics in Medicine|August 30, 2017
Improving phase II oncology trials using best observed RECIST response as an endpoint by modelling continuous tumour measurementsChien-Ju Lin, James M S WasonInternational Journal of Medical Informatics|October 9, 2014
Design of telehealth trials--introducing adaptive approachesLisa M Law, James M S WasonStatistics in Medicine|June 19, 2013
Using continuous data on tumour measurements to improve inference in phase II cancer studiesJames M S Wason, Shaun R SeamanJournal of Biopharmaceutical Statistics|June 2, 2012
Minimizing the maximum expected sample size in two-stage Phase II clinical trials with continuous outcomesJames M S Wason, Adrian P ManderJournal of Statistical Planning and Inference|September 5, 2020
Efficient analysis of time-to-event endpoints when the event involves a continuous variable crossing a thresholdChien-Ju Lin, James M S WasonPharmaceutical Statistics|August 14, 2020
Controlling type I error rates in multi-arm clinical trials: A case for the false discovery rateJames M S Wason, David S RobertsonBiometrics|March 7, 2022
Bayesian sample size determination using commensurate priors to leverage preexperimental dataHaiyan Zheng, Thomas Jaki, James M S WasonBMC Medicine|August 3, 2019
When to keep it simple - adaptive designs are not always usefulJames M S Wason, Peter Brocklehurst, Christina YapOrphanet Journal of Rare Diseases|May 24, 2018
Improving the analysis of composite endpoints in rare disease trialsMartina McMenamin, Anna Berglind, James M S WasonStatistics in Medicine|March 27, 2013
Planning multi-arm screening studies within the context of a drug development programJames M S Wason, Thomas Jaki, Nigel StallardPageof 13