Zobrazeno 1 - 10
of 382
pro vyhledávání: '"Keith R. Abrams"'
Autor:
Humaira Hussein, Keith R. Abrams, Laura J. Gray, Sumayya Anwer, Sofia Dias, Sylwia Bujkiewicz
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in study designs as such dat
Externí odkaz:
https://doaj.org/article/d48e09dc524a448788699c8c02ebda20
Autor:
Jane Lyons, Ashley Akbari, Keith R. Abrams, Amaya Azcoaga Lorenzo, Thamer Ba Dhafari, James Chess, Spiros Denaxas, Richard Fry, Chris P. Gale, John Gallacher, Lucy J. Griffiths, Bruce Guthrie, Marlous Hall, Farideh Jalali-najafabadi, Ann John, Clare MacRae, Colin McCowan, Niels Peek, Dermot O’Reilly, James Rafferty, Ronan A. Lyons, Rhiannon K. Owen
Publikováno v:
The Lancet Regional Health. Europe, Vol 32, Iss , Pp 100687- (2023)
Summary: Background: Understanding and quantifying the differences in disease development in different socioeconomic groups of people across the lifespan is important for planning healthcare and preventive services. The study aimed to measure chronic
Externí odkaz:
https://doaj.org/article/fa7c73ea5ef841fe8910fd7055841c8f
Autor:
Humaira Hussein, Clareece R. Nevill, Anna Meffen, Keith R. Abrams, Sylwia Bujkiewicz, Alex J. Sutton, Laura J. Gray
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background There is a growing interest in the inclusion of real-world and observational studies in evidence synthesis such as meta-analysis and network meta-analysis in public health. While this approach offers great epidemiological opportun
Externí odkaz:
https://doaj.org/article/4b75488860ee47d787d5a0250b84360c
Autor:
Janharpreet Singh, Sandro Gsteiger, Lorna Wheaton, Richard D. Riley, Keith R. Abrams, Clare L. Gillies, Sylwia Bujkiewicz
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-17 (2022)
Abstract Background Increasingly in network meta-analysis (NMA), there is a need to incorporate non-randomised evidence to estimate relative treatment effects, and in particular in cases with limited randomised evidence, sometimes resulting in discon
Externí odkaz:
https://doaj.org/article/5d2333c7237541f3b3956dd682343076
Autor:
Adeniyi Francis Fagbamigbe, Utkarsh Agrawal, Amaya Azcoaga-Lorenzo, Briana MacKerron, Eda Bilici Özyiğit, Daniel C. Alexander, Ashley Akbari, Rhiannon K. Owen, Jane Lyons, Ronan A. Lyons, Spiros Denaxas, Paul Kirk, Ana Corina Miller, Gill Harper, Carol Dezateux, Anthony Brookes, Sylvia Richardson, Krishnarajah Nirantharakumar, Bruce Guthrie, Lloyd Hughes, Umesh T. Kadam, Kamlesh Khunti, Keith R. Abrams, Colin McCowan
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/73b438d64fa140f584fc63336b758b5f
Autor:
David A. Jenkins, Humaira Hussein, Reynaldo Martina, Pascale Dequen-O’Byrne, Keith R. Abrams, Sylwia Bujkiewicz
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Network Meta-Analysis (NMA) is a key component of submissions to reimbursement agencies world-wide, especially when there is limited direct head-to-head evidence for multiple technologies from randomised controlled trials (RCTs).
Externí odkaz:
https://doaj.org/article/0b856bcf31994a0e82afcc6ac804a535
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Use of real world data (RWD) from non-randomised studies (e.g. single-arm studies) is increasingly being explored to overcome issues associated with data from randomised controlled trials (RCTs). We aimed to compare methods for pa
Externí odkaz:
https://doaj.org/article/bb21ea47cd5c4fa2a7af4c4dfa2cd8f6
Autor:
Humaira Hussein, Clareece R. Nevill, Anna Mefen, Keith R. Abrams, Sylwia Bujkiewicz, Alex J. Sutton, Laura J. Gray
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/b92f8e655b5f4d0ea6f59129040cde47
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-25 (2021)
Abstract Background The complexity of public health interventions create challenges in evaluating their effectiveness. There have been huge advancements in quantitative evidence synthesis methods development (including meta-analysis) for dealing with
Externí odkaz:
https://doaj.org/article/6df0b21cebd84290a82b6d142fb2029b
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-21 (2020)
Abstract Background Network meta-analysis synthesises data from a number of clinical trials in order to assess the comparative efficacy of multiple healthcare interventions in similar patient populations. In situations where clinical trial data are h
Externí odkaz:
https://doaj.org/article/854af9bf23304b28b6b9e7f439ef774e