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Matteo Quartagno
Matteo Quartagno
Statistician, MRC Clinical Trial Unit at UCL
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Multiple imputation and its application
JR Carpenter, JW Bartlett, TP Morris, AM Wood, M Quartagno, ...
John Wiley & Sons, 2023
12592023
Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study
RK Gupta, EM Harrison, A Ho, AB Docherty, SR Knight, M van Smeden, ...
The Lancet Respiratory Medicine 9 (4), 349-359, 2021
2362021
Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study
RK Gupta, M Marks, THA Samuels, A Luintel, T Rampling, H Chowdhury, ...
European Respiratory Journal 56 (6), 2020
2272020
Multiple imputation for multilevel data with continuous and binary variables
V Audigier, IR White, S Jolani, TPA Debray, M Quartagno, J Carpenter, ...
1612018
jomo: A package for multilevel joint modelling multiple imputation
M Quartagno, J Carpenter
R package version 2 (0), 2016
109*2016
Jomo: a flexible package for two-level joint modelling multiple imputation
M Quartagno, S Grund, J Carpenter
R Journal 9 (1), 2019
1062019
Multiple imputation for IPD meta‐analysis: allowing for heterogeneity and studies with missing covariates
M Quartagno, JR Carpenter
Statistics in medicine 35 (17), 2938-2954, 2016
1042016
Discovery and validation of a personalized risk predictor for incident tuberculosis in low transmission settings
RK Gupta, CJ Calderwood, A Yavlinsky, M Krutikov, M Quartagno, ...
Nature medicine 26 (12), 1941-1949, 2020
802020
Major depression and survival in people with cancer
J Walker, A Mulick, N Magill, S Symeonides, C Gourley, K Burke, A Belot, ...
Psychosomatic medicine 83 (5), 410-416, 2021
652021
Multiple imputation for discrete data: Evaluation of the joint latent normal model
M Quartagno, JR Carpenter
Biometrical Journal 61 (4), 1003-1019, 2019
502019
Multiple imputation with survey weights: a multilevel approach
M Quartagno, JR Carpenter, H Goldstein
Journal of Survey Statistics and Methodology 8 (5), 965-989, 2020
422020
Initiation and continuity of maternal healthcare: examining the role of vouchers and user-fee removal on maternal health service use in Kenya
ML Dennis, L Benova, T Abuya, M Quartagno, B Bellows, OMR Campbell
Health Policy and Planning 34 (2), 120-131, 2019
402019
Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model
MH Huque, M Moreno‐Betancur, M Quartagno, JA Simpson, JB Carlin, ...
Biometrical Journal 62 (2), 444-466, 2020
342020
Evaluating the impact of a maternal health voucher programme on service use before and after the introduction of free maternity services in Kenya: a quasi-experimental study
ML Dennis, T Abuya, OMR Campbell, L Benova, A Baschieri, ...
BMJ global health 3 (2), e000726, 2018
332018
Different independent associations of depression and anxiety with survival in patients with cancer
J Walker, N Magill, A Mulick, S Symeonides, C Gourley, M Toynbee, ...
Journal of Psychosomatic Research 138, 110218, 2020
322020
Rethinking non-inferiority: a practical trial design for optimising treatment duration
M Quartagno, AS Walker, JR Carpenter, PPJ Phillips, MKB Parmar
Clinical trials 15 (5), 477-488, 2018
302018
Predictive performance of interferon-gamma release assays and the tuberculin skin test for incident tuberculosis: an individual participant data meta-analysis
Y Hamada, RK Gupta, M Quartagno, A Izzard, C Acuna-Villaorduna, ...
EClinicalMedicine 56, 2023
252023
Handling an uncertain control group event risk in non-inferiority trials: non-inferiority frontiers and the power-stabilising transformation
M Quartagno, AS Walker, AG Babiker, RM Turner, MKB Parmar, A Copas, ...
Trials 21, 1-12, 2020
212020
The DURATIONS randomised trial design: estimation targets, analysis methods and operating characteristics
M Quartagno, JR Carpenter, AS Walker, M Clements, MKB Parmar
Clinical Trials, 17(6), 2020
192020
Handling missing data in modelling quality of clinician-prescribed routine care: sensitivity analysis of departure from missing at random assumption
S Gachau, M Quartagno, EN Njagi, N Owuor, M English, P Ayieko
Statistical methods in medical research 29 (10), 3076-3092, 2020
172020
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