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Table 3 Reporting information of statistical analyses of included IPD-NMAs

From: Statistical analyses and quality of individual participant data network meta-analyses were suboptimal: a cross-sectional study

Items Frequency Proportion (%)
Fixed- or random-effects?
 Fixed-effects 6 28.6
 Random-effects 6 28.6
 Fixed- and random-effects 6 28.6
 Not reported 3 14.3
Bayesian or Frequentist method?
 Bayesian 12 57.1
 Frequentist 9 42.9
1-stage or 2-stage process?
 1-stage 14 66.7
 2-stage 7 33.3
How was the model fit assessed?
 Deviance information criterion 8 38.1
 Deviance information criterion + residual deviance 2 9.5
 Not reported 2 9.5
 Not applicable 9 42.9
Were the prior distributions reported?
 Yes 8 38.1
  Noninformative priora 5 23.8
  Informative priora 1 4.8
  Noninformative prior + informative prior 2 9.5
 Not reported 4 19
 Not applicable 9 42.9
Was the convergence assessed?
 Yes 8 38.1
  Gelman-Rubin statistic 4 19
  Visual plot inspection 1 4.8
  Gelman-Rubin statistic + visual plot inspection 3 14.3
 Not reported 4 19
 Not applicable 9 42.9
Statistical techniques used for missing participant data
 LOCF 3 14.3
 ACA 1 4.8
 MCMC multiple imputations 1 4.8
 Not reported 16 76.2
Was the heterogeneity assessed?
 Yes 15 71.4
 Not reported 6 28.6
Was the consistency assessed?
 Yes 9 42.9
  Loop-specific approach 2 9.5
  Node-splitting 2 9.5
  Lu and Ades 1 4.8
  Lumley 1 4.8
  Informal approachesb 3 14.3
 Not reported 12 57.1
Was the transitivity assessed? (yes) 0 0
Subgroup analysis conducted? (yes) 10 47.6
Sensitivity analysis conducted? (yes) 16 76.2
Meta-regression analysis conducted? (yes) 8 38.1
With GRADE used 2 9.5
Software used
 WinBUGS/OpenBUGS 7 33.3
 R 3 14.3
 WinBUGS + R 3 14.3
 WinBUGS + Stata 1 4.8
 SAS + Review Managerc 2 9.5
 SAS + Stata 1 4.8
 R + Stata 1 4.8
 Not reported 3 14.3
  1. IPD-NMAs individual participant data network meta-analyses, LOCF last observation carried forward, ACA available case analysis, MCMC Markov chain Monte Carlo, GRADE Grading of Recommendations Assessment, Development and Evaluation
  2. aPriors are based on the detailed methods of prior distribution reported in IPD-NMAs
  3. bInformal approaches are the comparison of IPD-NMA with meta-regression IPD-NMA results, comparison of IPD-NMA with aggregate data NMA results, and comparison of NMA results with pairwise meta-analyses results
  4. cReview Manager was used for pairwise meta-analyses