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Table 3 TDR for detecting genotype effects in the presence of a continuous covariate

From: Application of two machine learning algorithms to genetic association studies in the presence of covariates

  Approach
MODEL Include Z Residualize by Z Ignore Z
MODEL 1: ADDITIVE    
β/σ = γ/σ = 0.5 0.969/0.546 0.993/0.999 0.965/0.995
MODEL 2: ADDITIVE WITH CONFOUNDING    
β/σ = γ/σ = 0.5 0.922/0.729 0.942/0.731 0.116/0.740
MODEL 3: ADDITIVE WITH EFFECT MEDIATION    
β/σ = 0.5, γ/σ = 2 0.829/0.703 0.133/0.033 0.510/0.628
MODEL 4: INTERACTION    
β/σ = γ/σ = ζ/σ = 0.5 0.999/0.909 0.995/0.998 0.930/0.984
MODEL 5: INTERACTION, NO MAIN EFFECTS    
ζ/σ = 0.5 0.898/0.963 0.137/0.033 0.137/0.036
MODEL 6: CONDITIONAL ASSOCIATION    
γ/σ = ζ/σ = 0.5 0.906/0.854 0.119/0.037 0.127/0.045
  1. TDR is given in pairs corresponding to RF and MARS, respectively.