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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 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 RobertsonPharmaceutical Statistics|July 29, 2024
Efficient Study Design and Analysis of Longitudinal Dose-Response Data Using Fractional PolynomialsBenjamin F Hartley, Dave Lunn, Adrian P ManderBiometrics|March 7, 2022
Bayesian sample size determination using commensurate priors to leverage preexperimental dataHaiyan Zheng, Thomas Jaki, James M S WasonJournal of Biopharmaceutical Statistics|January 25, 2022
A stochastically curtailed single-arm phase II trial design for binary outcomesMartin Law, Michael J Grayling, Adrian P ManderPharmaceutical Statistics|August 30, 2020
A stochastically curtailed two-arm randomised phase II trial design for binary outcomesMartin Law, Michael J Grayling, Adrian P ManderBMC Medicine|August 3, 2019
When to keep it simple - adaptive designs are not always usefulJames M S Wason, Peter Brocklehurst, Christina YapPageof 19