Caille, A; Kerry, S; Tavernier, E; Leyrat, C; Eldridge, S; Giraudeau, B; (2016) Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials. BMJ (Clinical research ed), 354. i4291. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.i4291

Caille, A; Leyrat, C; Giraudeau, B; (2014) A comparison of imputation strategies in cluster randomized trials with missing binary outcomes. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214530030 Full text not available from this repository.

Chan, CL; Leyrat, C; Eldridge, SM; (2017) Quality of reporting of pilot and feasibility cluster randomised trials: a systematic review. BMJ open, 7 (11). e016970. ISSN 2044-6055 DOI: https://doi.org/10.1136/bmjopen-2017-016970

Crellin, E; Mansfield, KE; Leyrat, C; Nitsch, D; Douglas, IJ; Root, A; Williamson, E; Smeeth, L; Tomlinson, LA; (2018) Trimethoprim use for urinary tract infection and risk of adverse outcomes in older patients: cohort study. BMJ (Clinical research ed), 360. k341. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.k341

Kahan, BC; Forbes, G; Ali, Y; Jairath, V; Bremner, S; Harhay, MO; Hooper, R; Wright, N; Eldridge, SM; Leyrat, C; (2016) 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 (1). p. 438. ISSN 1745-6215 DOI: https://doi.org/10.1186/s13063-016-1571-2

Leyrat, C; Caille, A; Donner, A; Giraudeau, B; (2014) Propensity score methods for estimating relative risks in cluster randomized trials with low-incidence binary outcomes and selection bias. Statistics in medicine, 33 (20). pp. 3556-75. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6185 Full text not available from this repository.

Leyrat, C; Caille, A; Foucher, Y; Giraudeau, B; (2016) Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic. BMC medical research methodology, 16 (1). p. 9. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-015-0100-4

Leyrat, C; Morgan, KE; Leurent, B; Kahan, BC; (2017) Cluster randomized trials with a small number of clusters: which analyses should be used? International journal of epidemiology. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyx169

Leyrat, C; Morgan, KE; Leurent, B; Kahan, BC; (2018) 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. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyy062 Item availability may be restricted.

Leyrat, C; Seaman, SR; White, IR; Douglas, I; Smeeth, L; Kim, J; Resche-Rigon, M; Carpenter, JR; Williamson, EJ; (2017) Propensity score analysis with partially observed covariates: How should multiple imputation be used? Statistical methods in medical research. p. 962280217713032. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280217713032

Porcher, R; Leyrat, C; Baron, G; Giraudeau, B; Boutron, I; (2015) Performance of principal scores to estimate the marginal compliers causal effect of an intervention. Statistics in medicine, 35 (5). pp. 752-67. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6735 Full text not available from this repository.