| Open science saves lives: lessons from the COVID-19 pandemic L Besançon, N Peiffer-Smadja, C Segalas, H Jiang, P Masuzzo, C Smout, ... BMC Medical Research Methodology 21 (1), 117, 2021 | 299 | 2021 |
| Propensity score analysis with partially observed covariates: How should multiple imputation be used? C Leyrat, SR Seaman, IR White, I Douglas, L Smeeth, J Kim, ... Statistical methods in medical research 28 (1), 3-19, 2019 | 253 | 2019 |
| Cluster randomized trials with a small number of clusters: which analyses should be used? C Leyrat, KE Morgan, B Leurent, BC Kahan International journal of epidemiology 47 (1), 321-331, 2018 | 196 | 2018 |
| Reflection on modern methods: trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational … C Maringe, S Benitez Majano, A Exarchakou, M Smith, B Rachet, A Belot, ... International journal of epidemiology 49 (5), 1719-1729, 2020 | 114 | 2020 |
| Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study BC Kahan, G Forbes, Y Ali, V Jairath, S Bremner, MO Harhay, R Hooper, ... Trials 17 (1), 438, 2016 | 97 | 2016 |
| G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study A Chatton, F Le Borgne, C Leyrat, F Gillaizeau, C Rousseau, L Barbin, ... Scientific reports 10 (1), 9219, 2020 | 87 | 2020 |
| MatchThem:: matching and weighting after multiple imputation F Pishgar, N Greifer, C Leyrat, E Stuart arXiv preprint arXiv:2009.11772, 2020 | 78 | 2020 |
| Trimethoprim use for urinary tract infection and risk of adverse outcomes in older patients: cohort study E Crellin, KE Mansfield, C Leyrat, D Nitsch, IJ Douglas, A Root, ... Bmj 360, 2018 | 78 | 2018 |
| Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials A Caille, S Kerry, E Tavernier, C Leyrat, S Eldridge, B Giraudeau bmj 354, 2016 | 60 | 2016 |
| Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial MJ Smith, MA Mansournia, C Maringe, PN Zivich, SR Cole, C Leyrat, ... Statistics in medicine 41 (2), 407-432, 2022 | 45 | 2022 |
| Quality of reporting of pilot and feasibility cluster randomised trials: a systematic review CL Chan, C Leyrat, SM Eldridge BMJ open 7 (11), e016970, 2017 | 44 | 2017 |
| Causal and associational language in observational health research: a systematic evaluation NA Haber, SE Wieten, JM Rohrer, OA Arah, PWG Tennant, EA Stuart, ... American journal of epidemiology 191 (12), 2084-2097, 2022 | 41 | 2022 |
| Extracorporeal membrane oxygenation for severe acute respiratory distress syndrome associated with COVID-19: an emulated target trial analysis D Hajage, A Combes, C Guervilly, G Lebreton, A Mercat, A Pavot, S Nseir, ... American journal of respiratory and critical care medicine 206 (3), 281-294, 2022 | 41 | 2022 |
| Does internet-accessed STI (e-STI) testing increase testing uptake for chlamydia and other STIs among a young population who have never tested? Secondary analyses of data from … E Wilson, C Leyrat, P Baraitser, C Free Sexually transmitted infections 95 (8), 569-574, 2019 | 40 | 2019 |
| Propensity score methods for estimating relative risks in cluster randomized trials with low‐incidence binary outcomes and selection bias C Leyrat, A Caille, A Donner, B Giraudeau Statistics in medicine 33 (20), 3556-3575, 2014 | 40 | 2014 |
| Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study C Leyrat, A Caille, A Donner, B Giraudeau Statistics in medicine 32 (19), 3357-3372, 2013 | 39 | 2013 |
| Propensity scores using missingness pattern information: a practical guide HA Blake, C Leyrat, KE Mansfield, S Seaman, LA Tomlinson, J Carpenter, ... Statistics in medicine 39 (11), 1641-1657, 2020 | 38 | 2020 |
| Stopping renin-angiotensin system blockers after acute kidney injury and risk of adverse outcomes: parallel population-based cohort studies in English and Swedish routine care P Bidulka, EL Fu, C Leyrat, F Kalogirou, KSL McAllister, EJ Kingdon, ... BMC medicine 18 (1), 1-11, 2020 | 35 | 2020 |
| Common methods for handling missing data in marginal structural models: what works and why C Leyrat, JR Carpenter, S Bailly, EJ Williamson American journal of epidemiology 190 (4), 663-672, 2021 | 30 | 2021 |
| Estimating treatment effects with partially observed covariates using outcome regression with missing indicators HA Blake, C Leyrat, KE Mansfield, LA Tomlinson, J Carpenter, ... Biometrical Journal 62 (2), 428-443, 2020 | 29 | 2020 |
