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Table 2 References included in the review

From: Bayesian statistics in the design and analysis of cluster randomised controlled trials and their reporting quality: a methodological systematic review

R1

Carabin H, Millogo A, Ngowi HA, et al. Effectiveness of a community-based educational programme in reducing the cumulative incidence and prevalence of human Taenia solium cysticercosis in Burkina Faso in 2011–14 (EFECAB): a cluster-randomised controlled trial. Lancet Glob Heal. 2018;6(4):e411-e425. doi:10.1016/S2214-109X(18)30027-5

R2

Foxcroft DR, Callen H, Davies EL, Okulicz-Kozaryn K. Effectiveness of the strengthening families programme 10-14 in Poland: Cluster randomized controlled trial. Eur J Public Health. 2017;27(3):494-500. doi:10.1093/eurpub/ckw195

R3

Levy BT, Hartz A, Woodworth G, Xu Y, Sinift S. Interventions to Improving Osteoporosis Screening: An Iowa Research Network (IRENE) Study. J Am Board Fam Med. 2009;22(4):360-367. doi:10.3122/jabfm.2009.04.080071

R4

Ngowi HA, Carabin H, Kassuku AA, Mlozi MRS, Mlangwa JED, Willingham AL. A health-education intervention trial to reduce porcine cysticercosis in Mbulu District, Tanzania. Prev Vet Med. 2008;85(1-2):52-67. doi:10.1016/j.prevetmed.2007.12.014

R5

Rahme E, Choquette D, Beaulieu M, et al. Impact of a general practitioner educational intervention on osteoarthritis treatment in an elderly population. Am J Med. 2005;118(11):1262-1270. doi:10.1016/j.amjmed.2005.03.026

R6

Swanson KM, Chen H-T, Graham JC, Wojnar DM, Petras A. Resolution of Depression and Grief during the First Year after Miscarriage: A Randomized Controlled Clinical Trial of Couples-Focused Interventions. J Women’s Heal. 2009;18(8):1245-1257. doi:10.1089/jwh.2008.1202

R7

Van Deurssen E, Meijster T, Oude Hengel KM, et al. Effectiveness of a Multidimensional Randomized Control Intervention to Reduce Quartz Exposure among Construction Workers. Ann Occup Hyg. 2015;59(8):959-971. doi:10.1093/annhyg/mev037

R8

Amza A, Kadri B, Nassirou B, et al. Community risk factors for ocular chlamydia infection in Niger: Pre-treatment results from a cluster-randomized trachoma trial. PLoS Negl Trop Dis. 2012;6(4). doi:10.1371/journal.pntd.0001586

R9

Hovi T, Ollgren J, Savolainen-Kopra C, T. H, J. O. Intensified hand-hygiene campaign including soap-and-water wash may prevent acute infections in office workers, as shown by a recognized-exposure -adjusted analysis of a randomized trial. BMC Infect Dis. 2017;17(1):47. doi:https://doi.org/10.1186/s12879-016-2157-z

R10

Barlis P, Regar E, Serruys PW, et al. An optical coherence tomography study of a biodegradable vs. durable polymer-coated limus-eluting stent: A LEADERS trial sub-study. Eur Heart J. 2010;31(2):165-176. doi:10.1093/eurheartj/ehp480

R11

See CW, O’Brien KS, Keenan JD, et al. The effect of mass azithromycin distribution on childhood mortality: Beliefs and estimates of efficacy. Am J Trop Med Hyg. 2015;93(5):1106-1109. doi:10.1111/sjos.12316

M1

Alexander N, Emerson P. Analysis of incidence rates in cluster-randomized trials of interventions against recurrent infections, with an application to trachoma. Stat Med. 2005;24(17):2637-2647. doi:10.1002/sim.2138

M2

Clark AB, Bachmann MO. Bayesian methods of analysis for cluster randomized trials with count outcome data. Stat Med. 2010;29(2):199-209. doi:10.1002/sim.3747

M3

Nixon RM, Duffy SW, Fender GR. Imputation of a true endpoint from a surrogate: Application to a cluster randomized controlled trial with partial information on the true endpoint. BMC Med Res Methodol. 2003;3:1-11. doi:10.1186/1471-2288-3-17

M4

Olsen MK, DeLong ER, Oddone EZ, Bosworth HB. Strategies for analyzing multilevel cluster-randomized studies with binary outcomes collected at varying intervals of time. Stat Med. 2008;27(29):6055-6071. doi:10.1002/sim.3446

M5

Thompson SG, Warn DE, Turner RM. Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scale. Stat Med. 2004;23(3):389-410. doi:10.1002/sim.1567

M6

Turner RM, Prevost AT, Thompson SG. Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials. Stat Med. 2004;23(8):1195-1214. doi:10.1002/sim.1721

M7

Turner RM, Omar RZ, Thompson SG. Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trials. Biometrical J. 2006;48(3):333-345. doi:10.1002/bimj.200310147

M8

Spiegelhalter DJ. Bayesian methods for cluster randomized trials with continuous responses. Stat Med. 2001;20(3):435-452. doi:10.1002/1097-0258(20010215)20:3<435::AID-SIM804>3.0.CO;2-E

M9

Kikuchi T, Gittins J. A behavioural Bayes approach for sample size determination in cluster randomized clinical trials. J R Stat Soc Ser C Appl Stat. 2010;59(5):875-888. doi:10.1111/j.1467-9876.2010.00732.x

M10

Turner RM, Thompson SG, Spiegelhalter DJ. Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trials. Clin Trials. 2005;2(2):108-118. doi:10.1191/1740774505cn072oa

M11

Turner RM, Omar RZ, Thompson SG. Constructing intervals for the intracluster correlation coefficient using Bayesian modelling, and application in cluster randomized trials. Stat Med. 2006;25(9):1443-1456. doi:10.1002/sim.2304

M12

Uhlmann L, Jensen K, Kieser M. Bayesian network meta-analysis for cluster randomized trials with binary outcomes. Res Synth Methods. 2016;8(October 2015):236-250. doi:10.1002/jrsm.1210

M13

Turner RM, Omar RZ, Thompson SG. Bayesian methods of analysis for cluster randomized trials with binary outcome data. Stat Med. 2001;20(3):453-472. doi:10.1002/1097-0258(20010215)20:3<453::AID-SIM803>3.0.CO;2-L

C1

Peters TJ, Richards SH, Bankhead CR, Ades AE, Sterne JAC. Comparison of methods for analysing cluster randomized trials: An example involving a factorial design. Int J Epidemiol. 2003;32(5):840-846. doi:10.1093/ije/dyg228

C2

Pacheco GD, Hattendorf J, Colford JM, Mäusezahl D, Smith T. Performance of analytical methods for overdispersed counts in cluster randomized trials: Sample size, degree of clustering and imbalance. Stat Med. 2009;28(24):2989-3011. doi:10.1002/sim.3681

C3

Ma J, Thabane L, Kaczorowski J, et al. Comparison of Bayesian and classical methods in the analysis of cluster randomized controlled trials with a binary outcome: The community hypertension assessment trial (CHAT). BMC Med Res Methodol. 2009;9(1). doi:10.1186/1471-2288-9-37

  1. Prefix “R” refers to results papers, “M” to methodological papers and “C” to comparison of methods papers