Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Karla Diaz Ordaz"'
Autor:
Richard Croker, Anna Schultze, Frank Hester, John Parry, Rafael Perera, Sam Harper, Rosalind M. Eggo, Liam Smeeth, Ewout Steyerberg, Caroline Minassian, Ruth Keogh, Karla Diaz-Ordaz, Stephen J.W. Evans, Elizabeth J. Williamson, Krishnan Bhaskaran, John Tazare, Helen I McDonald, Alex J. Walker, Sebastian Bacon, Laurie A. Tomlinson, Helen J. Curtis, Chris Bates, Caroline E. Morton, Harriet Forbes, Amir Mehrkar, Emily Nightingale, Brian D Nicholson, Richard Grieve, Dave Evans, Peter Inglesby, David Harrison, Ben Goldacre, David Leon, Jonathan Cockburn, Brian MacKenna, Rohini Mathur, Will J. Hulme, Nicholas G. Davies, Ian J. Douglas, Jessica Morley, Angel Wong, Christopher T. Rentsch
Publikováno v:
Wellcome Open Research, Vol 5 (2024)
On March 11th 2020, the World Health Organization characterised COVID-19 as a pandemic. Responses to containing the spread of the virus have relied heavily on policies involving restricting contact between people. Evolving policies regarding shieldin
Externí odkaz:
https://doaj.org/article/b7f0d7f1981d429286c0a71ab1043702
Autor:
Kamaryn T. Tanner, Ruth H. Keogh, Carol A. C. Coupland, Julia Hippisley-Cox, Karla Diaz-Ordaz
Publikováno v:
Diagnostic and Prognostic Research, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background Over time, the performance of clinical prediction models may deteriorate due to changes in clinical management, data quality, disease risk and/or patient mix. Such prediction models must be updated in order to remain useful. In th
Externí odkaz:
https://doaj.org/article/50c5e01888bc4ade89fcc7b33e7598a9
Autor:
Mia S. Tackney, Tim Morris, Ian White, Clemence Leyrat, Karla Diaz-Ordaz, Elizabeth Williamson
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Adjustment for baseline covariates in randomized trials has been shown to lead to gains in power and can protect against chance imbalances in covariates. For continuous covariates, there is a risk that the the form of the relationship betwee
Externí odkaz:
https://doaj.org/article/4a5fe913d3814181b6e87d5e64aaa7ba
Autor:
The OpenSAFELY Collaborative, Elizabeth J. Williamson, John Tazare, Krishnan Bhaskaran, Helen I. McDonald, Alex J. Walker, Laurie Tomlinson, Kevin Wing, Sebastian Bacon, Chris Bates, Helen J. Curtis, Harriet J. Forbes, Caroline Minassian, Caroline E. Morton, Emily Nightingale, Amir Mehrkar, David Evans, Brian D. Nicholson, David A. Leon, Peter Inglesby, Brian MacKenna, Nicholas G. Davies, Nicholas J. DeVito, Henry Drysdale, Jonathan Cockburn, William J. Hulme, Jessica Morley, Ian Douglas, Christopher T. Rentsch, Rohini Mathur, Angel Wong, Anna Schultze, Richard Croker, John Parry, Frank Hester, Sam Harper, Richard Grieve, David A. Harrison, Ewout W. Steyerberg, Rosalind M. Eggo, Karla Diaz-Ordaz, Ruth Keogh, Stephen J. W. Evans, Liam Smeeth, Ben Goldacre
Publikováno v:
Diagnostic and Prognostic Research, Vol 6, Iss 1, Pp 1-15 (2022)
Abstract Background Obtaining accurate estimates of the risk of COVID-19-related death in the general population is challenging in the context of changing levels of circulating infection. Methods We propose a modelling approach to predict 28-day COVI
Externí odkaz:
https://doaj.org/article/90a8702465db42f89b6f83fd9b25c26d
Autor:
Camilla Pegram, Karla Diaz-Ordaz, Dave C Brodbelt, Yu-Mei Chang, Sarah Tayler, Fergus Allerton, Lauren Prisk, David B Church, Dan G O'Neill
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0291057 (2023)
Target trial emulation applies design principles from randomised controlled trials to the analysis of observational data for causal inference and is increasingly used within human epidemiology. Veterinary electronic clinical records represent a poten
Externí odkaz:
https://doaj.org/article/eac9c19e6ed5453490db44c490f422a5
Autor:
Quentin J. Leclerc, Naomi M. Fuller, Ruth H. Keogh, Karla Diaz-Ordaz, Richard Sekula, Malcolm G. Semple, ISARIC4C Investigators, CMMID COVID-19 Working Group, Katherine E. Atkins, Simon R. Procter, Gwenan M. Knight
Publikováno v:
BMC Health Services Research, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the patient’s “bed pathway” - the sequence of transfers of in
Externí odkaz:
https://doaj.org/article/838d57580dcb42bfb83f10f6a029eb93
Autor:
Karla Diaz-Ordaz, Rebecca Cosgriff, Gary Connett, Maarten van Smeden, Keith G. Brownlee, Emily Granger, Clemence Leyrat, Eleni-Rosalina Andrinopoulou, Rhonda D. Szczesniak, Nicholas P. Jewell, Ruth H. Keogh, Siobhán B. Carr, Daniela K Schlüter, Alex Lewin
Publikováno v:
Thorax
Thorax, 77(9), 873-881. BMJ Publishing Group
Thorax, 77(9), 873-881. BMJ Publishing Group
Background: cystic fibrosis (CF) is a life-threatening genetic disease, affecting around 10 500 people in the UK. Precision medicines have been developed to treat specific CF-gene mutations. The newest, elexacaftor/tezacaftor/ivacaftor (ELEX/TEZ/IVA)
Autor:
William E Oswald, Katherine E Halliday, Carlos Mcharo, Stefan Witek-McManus, Stella Kepha, Paul M Gichuki, Jorge Cano, Karla Diaz-Ordaz, Elizabeth Allen, Charles S Mwandawiro, Roy M Anderson, Simon J Brooker, Rachel L Pullan, Sammy M Njenga
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 13, Iss 11, p e0007488 (2019)
IntroductionFew studies have simultaneously examined the role of sanitation conditions at the home, school, and community on soil-transmitted helminth (STH) infection. We examined the contribution of each domain that children inhabit (home, village,
Externí odkaz:
https://doaj.org/article/4ee04fe9ff3c4b6aa22f00060d7422ed
The Centre of Excellence for Development Impact and Learning (CEDIL) has recently funded several studies that use machine learning methods to enhance the inferences made from impact evaluations. These studies focus on assessing the impact of complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c02cadf42d3e03edf015b3acf7720d5
https://doi.org/10.51744/llp3
https://doi.org/10.51744/llp3
Publikováno v:
Psychometrika. 86:595-618
We consider mediated effects of an exposure, X on an outcome, Y, via a mediator, M, under no unmeasured confounding assumptions in the setting where models for the conditional expectation of the mediator and outcome are partially linear. We propose G