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Statistics in Medicine|July 13, 2012
Identifying combined design and analysis procedures in two-stage trials with a binary end pointJack Bowden, James WasonPharmaceutical Statistics|December 22, 2017
Response-adaptive designs for binary responses: How to offer patient benefit while being robust to time trends?Sofía S Villar, Jack Bowden, James WasonStatistical Science : a Review Journal of the Institute of Mathematical Statistics|May 10, 2016
Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and ChallengesSofía S Villar, Jack Bowden, James WasonStatistical Methods in Medical Research|September 18, 2014
A multi-stage drop-the-losers design for multi-arm clinical trialsJames Wason, Nigel Stallard, Jack Bowden, et al.British Journal of Cancer|November 25, 2020
Realising the full potential of MR-PHeWAS in cancerJack BowdenAnnals of Neurology|May 19, 2012
Risk in complex genetics: "all models are wrong but some are useful"Stephen Sawcer, James WasonStatistics in Medicine|February 22, 2011
Mendelian randomization analysis of case-control data using structural mean modelsJack Bowden, Stijn VansteelandtGenetic Epidemiology|January 14, 2009
Unbiased estimation of odds ratios: combining genomewide association scans with replication studiesJack Bowden, Frank DudbridgeStatistics in Medicine|November 19, 2008
A re-evaluation of the 'quantile approximation method' for random effects meta-analysisDan Jackson, Jack BowdenBMC Medical Research Methodology|September 9, 2016
Confidence intervals for the between-study variance in random-effects meta-analysis using generalised heterogeneity statistics: should we use unequal tails?Dan Jackson, Jack BowdenPageof 21