Items where Author or Contributor is "Carroll, Orlagh"

Number of items: 7.
2024
Bidulka, Patrick;
Lugo-Palacios, David G;
Carroll, Orlagh;
O'Neill, Stephen;
Adler, Amanda I;
Basu, Anirban;
Silverwood, Richard J;
Bartlett, Jonathan W;
Nitsch, Dorothea;
Charlton, Paul;
+5 more...
Briggs, Andrew H;
Smeeth, Liam;
Douglas, Ian J;
Khunti, Kamlesh;
Grieve, Richard;
(2024)
Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data.
BMJ, 385.
e077097-.
DOI: https://doi.org/10.1136/bmj-2023-077097
Paixao, Enny S;
Cerqueira-Silva, Thiago;
Florentino, Pilar TV;
Carroll, Orlagh;
Sanchez Clemente, Nuria;
Lawlor, Deborah A;
Ribeiro Silva, Rita de Cássia;
Rodrigues, Laura Cunha;
Smeeth, Liam;
Barreto, Mauricio L;
(2024)
A nationwide longitudinal investigation on the role of prenatal exposure to infectious diseases on the onset of chronic conditions in children and adolescents in Brazil.
Wellcome open research, 9.
320-.
ISSN 2398-502X
DOI: https://doi.org/10.12688/wellcomeopenres.22430.2
Wiedmann, Lea;
Blumenau, Jack;
Carroll, Orlagh;
Cairns, John;
(2024)
Using automated text classification to explore uncertainty in NICE appraisals for drugs for rare diseases.
International journal of technology assessment in health care, 40 (1).
e5-.
ISSN 0266-4623
DOI: https://doi.org/10.1017/S0266462323002805
2022
Carroll, O;
(2022)
Strategies for imputing missing covariate values in observational data.
PhD thesis, London School of Hygiene & Tropical Medicine.
DOI: https://doi.org/10.17037/PUBS.04665779
2020
Carroll, Orlagh U;
Morris, Tim P;
Keogh, Ruth H;
(2020)
How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review.
BMC MEDICAL RESEARCH METHODOLOGY, 20 (1).
134-.
ISSN 1471-2288
DOI: https://doi.org/10.1186/s12874-020-01018-7
Rockenschaub, Patrick;
Gill, Martin J;
McNulty, David;
Carroll, Orlagh;
Freemantle, Nick;
Shallcross, Laura;
(2020)
Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospital.
Diagnostic and prognostic research, 4 (1).
15-.
ISSN 2397-7523
DOI: https://doi.org/10.1186/s41512-020-00083-2
2017
Thorpe, Benjamin;
Carroll, Orlagh;
Sharples, Linda;
(2017)
Methods for Handling Unobserved Covariates in a Bayesian Update of a Cost-effectiveness Model.
Medical decision making, 38 (2).
pp. 150-162.
ISSN 0272-989X
DOI: https://doi.org/10.1177/0272989X17736780