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Table 4 Multiple regression analysis to explain the variability of the parameter "reported effect size". Shown are the top four models taking into account one or two variables with the effect size measured in absolute or in relative dimensions

From: The fading of reported effectiveness. A meta-analysis of randomised controlled trials

  Ranking of model Effect size measured in absolute terms Effect size measured in relative terms
   Variables in model R2* Variables in model R2
Pravastatin 1 B, Y 0.8477 Y, B 0.2941
  2 B, T 0.8077 Y, T 0.2916
  3 B, n 0.8060 Y, n 0.2910
  4 B 0.8037 Y 0.2873
Atorvastatin 1 B, T 0.7473 T, Y 0.2014
  2 B, Y 0.6961 T, B 0.2001
  3 B, n 0.6960 T, n 0.1957
  4 B 0.6959 T 0.1882
Timolol 1 B, Y 0.5453 Y, B 0.2351
  2 B, T 0.4948 Y, n 0.2206
  3 B, n 0.4829 Y, T 0.1979
  4 B 0.4829 Y 0.1958
Latanoprost 1 B, Y 0.7958 B, Y 0.5636
  2 B, T 0.7798 B, T 0.5306
  3 B, n 0.7649 B, n 0.5030
  4 B 0.7647 B 0.5030
  1. Abbreviations: Y, year of publication; B, baseline of parameter of interest; T, treatment group; n, study size.
  2. * R2: Determination coefficient.