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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
Varying-parameters
 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
Fixed-parameters
 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