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Table 1 Median, minimum and maximum evaluated over the 50 replicates of the average across all the parameters of the convergence diagnostics: Gelman-Rubin dignostic, effective sample size (ESS) and Monte Carlo standard error (SE). Results are reported for our model applied to the non-monotonic scenario with binary and continuous responses

From: Bayesian splines versus fractional polynomials in network meta-analysis

  Non-monotonic    Non-monotonic (binary)   
  Median Minimum Maximum Median Minimum Maximum
Gelman-Rubin 1.005 1.002 1.008 1.008 1.003 1.010
ESS 9996.289 9993.762 9998.571 9114.788 9076.123 9480.754
Monte Carlo SE 0.015 0.009 0.023 0.017 0.012 0.019