Year |
Citation |
Score |
2022 |
Thompson JA, Leyrat C, Fielding KL, Hayes RJ. Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method. Bmc Medical Research Methodology. 22: 222. PMID 35962318 DOI: 10.1186/s12874-022-01699-2 |
0.388 |
|
2020 |
Chatton A, Le Borgne F, Leyrat C, Gillaizeau F, Rousseau C, Barbin L, Laplaud D, Léger M, Giraudeau B, Foucher Y. G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study. Scientific Reports. 10: 9219. PMID 32514028 DOI: 10.1038/S41598-020-65917-X |
0.522 |
|
2020 |
Maringe C, Benitez Majano S, Exarchakou A, Smith M, Rachet B, Belot A, Leyrat C. Reflections 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 data. International Journal of Epidemiology. PMID 32386426 DOI: 10.1093/Ije/Dyaa057 |
0.327 |
|
2020 |
Pourrat X, Leyrat C, Allenet B, Bouzige B, Develay A, Fraysse M, Garnier V, Halimi JM, Roux-Marson C, Giraudeau B. Effectiveness of a multicomponent pharmacist intervention at hospital discharge for drug-related problems: a cluster randomised cross-over trial. British Journal of Clinical Pharmacology. PMID 32383801 DOI: 10.1111/Bcp.14349 |
0.485 |
|
2020 |
Blake HA, Leyrat C, Mansfield KE, Tomlinson LA, Carpenter J, Williamson EJ. Estimating treatment effects with partially observed covariates using outcome regression with missing indicators. Biometrical Journal. Biometrische Zeitschrift. PMID 31994239 DOI: 10.1002/Bimj.201900041 |
0.35 |
|
2020 |
Leyrat C, Diazordaz K, Williamson E. Ajustement sur les covariables dans les essais randomisés : quand et comment ? Revue D Epidemiologie Et De Sante Publique. 68. DOI: 10.1016/J.Respe.2020.03.055 |
0.351 |
|
2019 |
Maringe C, Leyrat C, Benitez-Majano S, Smith M, Exarchakou A, Rachet B, Belot A. Résultats d’un essai clinique reproduit en utilisant des données observationnelles : effet causal du traitement chirurgical sur la probabilité de survie à un an chez les patients âgés atteints de cancer du poumon Revue D'éPidéMiologie Et De Santé Publique. 67: S131-S132. DOI: 10.1016/J.Respe.2019.03.095 |
0.313 |
|
2018 |
Leyrat C, Caille A, Eldridge S, Kerry S, Dechartres A, Giraudeau B. Intervention effect estimates in cluster randomized versus individually randomized trials: a meta-epidemiological study. International Journal of Epidemiology. PMID 30418549 DOI: 10.1093/Ije/Dyy229 |
0.598 |
|
2018 |
Leyrat C, Morgan KE, Leurent B, Kahan BC. Response to: How to design and analyse cluster randomized trials with a small number of clusters? Comment on Leyrat et al. International Journal of Epidemiology. PMID 29912403 DOI: 10.1093/Ije/Dyy062 |
0.45 |
|
2018 |
Leyrat C, Morgan KE, Leurent B, Kahan BC. Cluster randomized trials with a small number of clusters: which analyses should be used? International Journal of Epidemiology. PMID 29596636 DOI: 10.1093/ije/dyy057 |
0.38 |
|
2017 |
Chan CL, Leyrat C, Eldridge SM. Quality of reporting of pilot and feasibility cluster randomised trials: a systematic review. Bmj Open. 7: e016970. PMID 29122791 DOI: 10.1186/1745-6215-16-S2-P13 |
0.412 |
|
2017 |
Leyrat C, Morgan KE, Leurent B, Kahan BC. Cluster randomized trials with a small number of clusters: which analyses should be used? International Journal of Epidemiology. PMID 29025158 DOI: 10.1093/Ije/Dyx169 |
0.499 |
|
2017 |
Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, Resche-Rigon M, Carpenter JR, Williamson EJ. Propensity score analysis with partially observed covariates: How should multiple imputation be used? Statistical Methods in Medical Research. 962280217713032. PMID 28573919 DOI: 10.1177/0962280217713032 |
0.376 |
|
2016 |
Kahan BC, Forbes G, Ali Y, Jairath V, Bremner S, Harhay MO, Hooper R, Wright N, Eldridge SM, Leyrat C. Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study. Trials. 17: 438. PMID 27600609 DOI: 10.1186/S13063-016-1571-2 |
0.476 |
|
2016 |
Caille A, Kerry S, Tavernier E, Leyrat C, Eldridge S, Giraudeau B. Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials. Bmj (Clinical Research Ed.). 354: i4291. PMID 27530617 DOI: 10.1136/Bmj.I4291 |
0.609 |
|
2016 |
Leyrat C, Caille A, Foucher Y, Giraudeau B. Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic. Bmc Medical Research Methodology. 16: 9. PMID 26801083 DOI: 10.1186/S12874-015-0100-4 |
0.613 |
|
2016 |
Porcher R, Leyrat C, Baron G, Giraudeau B, Boutron I. Performance of principal scores to estimate the marginal compliers causal effect of an intervention. Statistics in Medicine. 35: 752-67. PMID 26381261 DOI: 10.1002/Sim.6735 |
0.553 |
|
2016 |
Caille A, Leyrat C, Giraudeau B. A comparison of imputation strategies in cluster randomized trials with missing binary outcomes. Statistical Methods in Medical Research. 25: 2650-2669. PMID 24713160 DOI: 10.1177/0962280214530030 |
0.63 |
|
2016 |
Gillaizeau F, Le Borgne F, Rousseau C, Leyrat C, Giral M, Chapal M, Barbin L, Laplaud D, Giraudeau B, Foucher Y. Régression logistique multivariée traditionnelle contre scores de propension : une étude pour mettre fin aux idées préconçues Revue D'éPidéMiologie Et De Santé Publique. 64: S117. DOI: 10.1016/J.Respe.2016.03.005 |
0.505 |
|
2014 |
Leyrat C, Caille A, Donner A, Giraudeau B. Propensity score methods for estimating relative risks in cluster randomized trials with low-incidence binary outcomes and selection bias. Statistics in Medicine. 33: 3556-75. PMID 24771662 DOI: 10.1002/Sim.6185 |
0.628 |
|
2014 |
Leyrat C, Caille A, Giraudeau B. Comment détecter le biais de sélection dans les essais randomisés en clusters ? Intérêt du score de propension Revue D'éPidéMiologie Et De Santé Publique. 62: S115. DOI: 10.1016/J.Respe.2014.05.007 |
0.576 |
|
2013 |
Caille A, Leyrat C, Giraudeau B. [Cluster randomised trials]. Annales De Dermatologie Et De Venereologie. 141: 144-6. PMID 24507210 DOI: 10.1016/J.Annder.2013.07.024 |
0.581 |
|
2013 |
Leyrat C, Caille A, Donner A, Giraudeau B. Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study. Statistics in Medicine. 32: 3357-72. PMID 23553813 DOI: 10.1002/Sim.5795 |
0.614 |
|
2012 |
Caille A, Leyrat C, Giraudeau B. Dichotomizing a continuous outcome in cluster randomized trials: impact on power. Statistics in Medicine. 31: 2822-32. PMID 22733454 DOI: 10.1002/Sim.5409 |
0.575 |
|
2011 |
Giraudeau B, Leyrat C, Le Gouge A, Léger J, Caille A. Peer review of grant applications: a simple method to identify proposals with discordant reviews. Plos One. 6: e27557. PMID 22110670 DOI: 10.1371/Journal.Pone.0027557 |
0.45 |
|
2011 |
Caille A, Leyrat C, Giraudeau B. Impact sur la puissance statistique de la binarisation d’un critère de jugement continu dans le cadre d’un essai randomisé en clusters Revue D'éPidéMiologie Et De Santé Publique. 59: S13. DOI: 10.1016/J.Respe.2011.02.086 |
0.558 |
|
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