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pro vyhledávání: '"Wason, James M S"'
Under a generalised estimating equation analysis approach, approximate design theory is used to determine Bayesian D-optimal designs. For two examples, considering simple exchangeable and exponential decay correlation structures, we compare the effic
Externí odkaz:
http://arxiv.org/abs/2402.09938
Randomized controlled clinical trials provide the gold standard for evidence generation in relation to the efficacy of a new treatment in medical research. Relevant information from previous studies may be desirable to incorporate in the design and a
Externí odkaz:
http://arxiv.org/abs/2401.10592
Adaptive designs(AD) are a broad class of trial designs that allow preplanned modifications based on patient data providing improved efficiency and flexibility. However, a delay in observing the primary outcome variable can harm this added efficiency
Externí odkaz:
http://arxiv.org/abs/2306.04430
Autor:
Cherlin, Svetlana, Bigirumurame, Theophile, Grayling, Michael J, Nsengimana, Jérémie, Ouma, Luke, Santaolalla, Aida, Wan, Fang, Williamson, S Faye, Wason, James M S
Introduction: Even in effectively conducted randomised trials, the probability of a successful study remains relatively low. With recent advances in the next-generation sequencing technologies, there is a rapidly growing number of high-dimensional da
Externí odkaz:
http://arxiv.org/abs/2305.10174
Modern data analysis frequently involves large-scale hypothesis testing, which naturally gives rise to the problem of maintaining control of a suitable type I error rate, such as the false discovery rate (FDR). In many biomedical and technological ap
Externí odkaz:
http://arxiv.org/abs/2208.11418
Publikováno v:
Biostatistics 2022
Basket trials are increasingly used for the simultaneous evaluation of a new treatment in various patient subgroups under one overarching protocol. We propose a Bayesian approach to sample size determination in basket trials that permit borrowing of
Externí odkaz:
http://arxiv.org/abs/2205.12227
Platform trials evaluate multiple experimental treatments under a single master protocol, where new treatment arms are added to the trial over time. Given the multiple treatment comparisons, there is the potential for inflation of the overall type I
Externí odkaz:
http://arxiv.org/abs/2202.03838
Autor:
Cherlin, Svetlana, Wason, James M S
We propose a Cross-validated ADaptive ENrichment design (CADEN) in which a trial population is enriched with a subpopulation of patients who are predicted to benefit from the treatment more than an average patient (the sensitive group). This subpopul
Externí odkaz:
http://arxiv.org/abs/2111.02299
Autor:
Azher, Ruqayya A.1,2 R.A.O.Azher2@newcastle.ac.uk, Wason, James M. S.1, Grayling, Michael J.1
Publikováno v:
Statistics in Biopharmaceutical Research. Apr-Jun2024, Vol. 16 Issue 2, p205-217. 13p.
Publikováno v:
Biometrics (BIOMETRIC METHODOLOGY) 2022
This paper develops Bayesian sample size formulae for experiments comparing two groups. We assume the experimental data will be analysed in the Bayesian framework, where pre-experimental information from multiple sources can be represented into robus
Externí odkaz:
http://arxiv.org/abs/2011.01106