Multiple imputation and its application JR Carpenter, JW Bartlett, TP Morris, AM Wood, M Quartagno, ... John Wiley & Sons, 2023 | 1259 | 2023 |
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 | 236 | 2021 |
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 | 227 | 2020 |
Multiple imputation for multilevel data with continuous and binary variables V Audigier, IR White, S Jolani, TPA Debray, M Quartagno, J Carpenter, ... | 161 | 2018 |
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 | 106 | 2019 |
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 | 104 | 2016 |
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 | 80 | 2020 |
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 | 65 | 2021 |
Multiple imputation for discrete data: Evaluation of the joint latent normal model M Quartagno, JR Carpenter Biometrical Journal 61 (4), 1003-1019, 2019 | 50 | 2019 |
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 | 42 | 2020 |
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 | 40 | 2019 |
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 | 34 | 2020 |
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 | 33 | 2018 |
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 | 32 | 2020 |
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 | 30 | 2018 |
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 | 25 | 2023 |
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 | 21 | 2020 |
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 | 19 | 2020 |
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 | 17 | 2020 |