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Table 1 Varying and fixed parameters of simulated datasets that were used to compare the performance measures of different models

From: A comparison of the statistical performance of different meta-analysis models for the synthesis of subgroup effects from randomized clinical trials

Parameters Value in simulation Statistical notation in the linear predictor used for simulation of datasetb
 Number of trials 6, 10, 16, 20, 26, 30, 40, 50
 Magnitude of the interaction effecta 0, −0.01 beta.inter
 Between-trial variance of the interaction effecta 0, 0.005, 0.05, 0.5 V 2
 Number of patients included in each trial between 30 and 199 patients in small trials, and 200 and 400 patients in large trials j
 Ratio of small to large trials 1:1
 Number of trial arms 2 treat
 Ratio of randomization 1:1
 Magnitude of the treatment effecta −1 beta.treat
 Between-trial variance of the treatment effecta 0.063 V 1
 Effect of age on the outcome 0.05 age
 Random intercept variance 0.25 σ 2
 Random slope variance 0.04 τ 2
 Correlation between random intercept and random slope variances 0.8 ρ
 Age of individual patients N(mean. age, variance. age) age
 Mean age of patients within trials N(67,20.25) mean. age
 Variance of age within trials N(49, 1) variance. age
  1. aOn a 0 to 10 visual analogue scale
  2. bSee Eq. 4.1