Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Brennan C. Kahan"'
Autor:
Mark R. Edwards, Gordon Forbes, Neil Walker, Dion G. Morton, Monty G. Mythen, Dave Murray, Iain Anderson, Borislava Mihaylova, Ann Thomson, Matt Taylor, Marianne Hollyman, Rachel Phillips, Keith Young, Brennan C. Kahan, Rupert M. Pearse, Michael P. W. Grocott, for the FLO-ELA investigators
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract Introduction Postoperative morbidity and mortality in patients undergoing major emergency gastrointestinal surgery are a major burden on healthcare systems. Optimal management of perioperative intravenous fluids may reduce mortality rates an
Externí odkaz:
https://doaj.org/article/30bd9a68cad74c99bbea167083d7acfa
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-8 (2023)
Abstract Background Poor retention in randomised trials can lead to serious consequences to their validity. Studies within trials (SWATs) are used to identify the most effective interventions to increase retention. Many interventions could be applied
Externí odkaz:
https://doaj.org/article/a0031b7ca8334185926dc26087d56fac
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-6 (2022)
Abstract Background Access to protocols and statistical analysis plans (SAPs) increases the transparency of randomised trial by allowing readers to identify and interpret unplanned changes to study methods, however they are often not made publicly av
Externí odkaz:
https://doaj.org/article/fe2d1bda3f814a98bde72d4b1b23bd0d
Publikováno v:
Trials, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background An estimand is a precise description of the treatment effect to be estimated from a trial (the question) and is distinct from the methods of statistical analysis (how the question is to be answered). The potential use of estimands
Externí odkaz:
https://doaj.org/article/9aba3da0264540a497a09224e56fc227
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Re-randomisation trials involve re-enrolling and re-randomising patients for each new treatment episode they experience. They are often used when interest lies in the average effect of an intervention across all the episodes for w
Externí odkaz:
https://doaj.org/article/fac50fae5c344e3c9c05524875b23578
Autor:
Jiyu Kim, Andrea B. Troxel, Scott D. Halpern, Kevin G. Volpp, Brennan C. Kahan, Tim P. Morris, Michael O. Harhay
Publikováno v:
Trials, Vol 21, Iss 1, Pp 1-14 (2020)
Abstract Introduction In a five-arm randomized clinical trial (RCT) with stratified randomization across 54 sites, we encountered low primary outcome event proportions, resulting in multiple sites with zero events either overall or in one or more stu
Externí odkaz:
https://doaj.org/article/26807177589a4fb0a81a3fe7c83f8ffb
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-7 (2020)
Abstract Results from clinical trials can be susceptible to bias if investigators choose their analysis approach after seeing trial data, as this can allow them to perform multiple analyses and then choose the method that provides the most favourable
Externí odkaz:
https://doaj.org/article/4a764c4e9b67438bb424167cb6ffa12b
Autor:
Brennan C. Kahan, Tim P. Morris, Ian R. White, Conor D. Tweed, Suzie Cro, Darren Dahly, Tra My Pham, Hanif Esmail, Abdel Babiker, James R. Carpenter
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-8 (2020)
Abstract When designing a clinical trial, explicitly defining the treatment estimands of interest (that which is to be estimated) can help to clarify trial objectives and ensure the questions being addressed by the trial are clinically meaningful. Th
Externí odkaz:
https://doaj.org/article/e989979a7315477483dd2291e0106e75
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background The coronavirus pandemic (Covid-19) presents a variety of challenges for ongoing clinical trials, including an inevitably higher rate of missing outcome data, with new and non-standard reasons for missingness. International drug t
Externí odkaz:
https://doaj.org/article/632b606299ba4ffc873f984e3a2d7324
Publikováno v:
BMC Medicine, Vol 18, Iss 1, Pp 1-8 (2020)
Abstract Background Choosing or altering the planned statistical analysis approach after examination of trial data (often referred to as ‘p-hacking’) can bias the results of randomised trials. However, the extent of this issue in practice is curr
Externí odkaz:
https://doaj.org/article/27a170e72eb44a7ab2fa64b7981feac1