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Network meta-analysis

YD Yixiu Du
FW Fangqin Wu
SL Sai Lu
WZ Wei Zheng
HW Huiying Wang
RC Ruming Chen
XL Xiaoying Lu
YZ Yu Zhang
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We will perform Bayesian NMAs to compare the efficacy of selected PU prevention interventions. The NMA will be conducted in the WinBUGS V.1.43 software (Medical Research Council Biostatistics Unit, Cambridge, UK).37 A complex statistical models will be built by a Bayesian software program, the Markov Chains Monte Carlo simulation technique will be used to generate samples. An initial burn-in period of 5000 iterations will be set to allow convergence, then posterior summaries will be produced based on a further 30 000 iterations. Both Kernel density and the auto-correlation plots will be used to assess model convergence.38 We will calculate the summary RRs or SMD for all pairwise comparisons in a league table. The ranking probabilities of all prevention interventions for each outcome will be estimated via the surface under the cumulative ranking curve.39 We will also compare stability using the frequentist approach.40

Copyright and License information:  ©2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
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