Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Rachael A Hughes"'
Autor:
Alice R Carter, Gemma L Clayton, M Carolina Borges, Laura D Howe, Rachael A Hughes, George Davey Smith, Deborah A Lawlor, Kate Tilling, Gareth J Griffith
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background There are many ways in which selection bias might impact COVID-19 research. Here we focus on selection for receiving a polymerase-chain-reaction (PCR) SARS-CoV-2 test and how known changes to selection pressures over time may bias
Externí odkaz:
https://doaj.org/article/bebc88621a264ddb8f00bf0f3c4057aa
Autor:
Ahmed Elhakeem, Rachael A. Hughes, Kate Tilling, Diana L. Cousminer, Stefan A. Jackowski, Tim J. Cole, Alex S. F. Kwong, Zheyuan Li, Struan F. A. Grant, Adam D. G. Baxter-Jones, Babette S. Zemel, Deborah A. Lawlor
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-20 (2022)
Abstract Background Longitudinal data analysis can improve our understanding of the influences on health trajectories across the life-course. There are a variety of statistical models which can be used, and their fitting and interpretation can be com
Externí odkaz:
https://doaj.org/article/6f2d4989c80b4894bd158399f4565d52
Autor:
Louise A C Millard, Alba Fernández-Sanlés, Alice R Carter, Rachael A Hughes, Kate Tilling, Tim P Morris, Daniel Major-Smith, Gareth J Griffith, Gemma L Clayton, Emily Kawabata, George Davey Smith, Deborah A Lawlor, Maria Carolina Borges
Publikováno v:
International Journal of Epidemiology. 52:44-57
Background Non-random selection of analytic subsamples could introduce selection bias in observational studies. We explored the potential presence and impact of selection in studies of SARS-CoV-2 infection and COVID-19 prognosis. Methods We tested th
Many partial identification problems can be characterized by the optimal value of a function over a set where both the function and set need to be estimated by empirical data. Despite some progress for convex problems, statistical inference in this g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e9cb9e6214cda44b1007a8a0009897e
https://www.repository.cam.ac.uk/handle/1810/350317
https://www.repository.cam.ac.uk/handle/1810/350317
Publikováno v:
BMC Medical Research Methodology. 23
Background Failure to appropriately account for unmeasured confounding may lead to erroneous conclusions. Quantitative bias analysis (QBA) can be used to quantify the potential impact of unmeasured confounding or how much unmeasured confounding would
Publikováno v:
Hughes, R, Aristodemou, P, Sparrow, J M & Kaye, S 2021, ' Surgeon effects on cataract refractive outcomes are minimal compared with patient comorbidity and gender: an analysis of 490987 cases ', British Journal of Ophthalmology . https://doi.org/10.1136/bjophthalmol-2021-320231
AimTo investigate effect of patient age, gender, comorbidities and surgeon on refractive outcomes following cataract surgery.MethodsStudy population: patients on UK national ophthalmic cataract database on cataract operations undertaken between 1 Apr
Autor:
Alice R Carter, Gemma L Clayton, M Carolina Borges, Laura D Howe, Rachael A Hughes, George Davey Smith, Deborah A Lawlor, Kate Tilling, Gareth J Griffith
BackgroundStructural barriers to testing may introduce selection bias in COVID-19 research. We explore whether changes to testing and lockdown restrictions introduce time-specific selection bias into analyses of socioeconomic position (SEP) and SARS-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bec9dab8034c48a16145e549cb9b724
https://doi.org/10.1101/2022.05.05.22274721
https://doi.org/10.1101/2022.05.05.22274721
Autor:
Kate Birnie, Rachael A. Hughes, Michael J. Crowther, Margaret T May, Elinor Curnow, Kate Tilling
Publikováno v:
Curnow, E, Hughes, R A, Birnie, K, Crowther, M J, May, M T & Tilling, K 2021, ' Multiple imputation strategies for a bounded outcome variable in a competing risks analysis ', Statistics in Medicine, vol. 40, no. 8, pp. 1917-1929 . https://doi.org/10.1002/sim.8879
Statistics in Medicine
Statistics in Medicine
In patient follow-up studies, events of interest may take place between periodic clinical assessments and so the exact time of onset is not observed. Such events are known as ‘bounded’ or ‘interval-censored’. Methods for handling such events
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d44ba057187c21c0adb71607096399fc
https://hdl.handle.net/1983/aa21e070-cc83-4c92-9e1d-8a767f609934
https://hdl.handle.net/1983/aa21e070-cc83-4c92-9e1d-8a767f609934
Autor:
Rachael A. Hughes, Alice R Carter, Gareth J Griffith, Kate Tilling, Debbie A Lawlor, George Davey Smith, Apostolos Gkatzionis
Publikováno v:
SSM Annual Scientific Meeting.
Rationale Associations between COVID-19 risk factors and COVID-19 outcomes change over time, likely due to selection into who receives a COVID-19 test. When studies do not account for the changes in testing criteria, the association between a risk fa
Autor:
Jack Bowden, Kate Tilling, Rachael A. Hughes, Matthew J. Tudball, Qingyuan Zhao, Marcus R. Munafò, Amanda Ly, George Davey Smith
Publikováno v:
Tudball, M J, Bowden, J, Hughes, R, Ly, A, Munafo, M R, Tilling, K M, Zhao, Q & Davey Smith, G 2021, ' Mendelian randomisation with coarsened exposures ', Genetic Epidemiology, vol. 45, no. 3, pp. 338-350 . https://doi.org/10.1002/gepi.22376
Genetic Epidemiology
Genetic Epidemiology
A key assumption in Mendelian randomisation is that the relationship between the genetic instruments and the outcome is fully mediated by the exposure, known as the exclusion restriction assumption. However, in epidemiological studies, the exposure i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b61df1904b922d7648b3b38ffc122d7
https://research-information.bris.ac.uk/en/publications/71d9ca47-0044-4eb2-8f0b-6dbc98196786
https://research-information.bris.ac.uk/en/publications/71d9ca47-0044-4eb2-8f0b-6dbc98196786