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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