Skip to main content

Table 4 Multivariate Marker Results: Three Markers are associated with Outcome

From: The impact of sample storage time on estimates of association in biomarker discovery studies

  X1 X2 X3
true β 0.3 0.2 0.2
perc.change 0.150 0.20 0.10
b i 1 2 3
t = 0
0.3 0.202 0.2
se.emp 0.131 0.13 0.13
rel.bias -0.001 0.012 0.002
rel.bias.sd 0.435 0.652 0.648
power 0.996
t = 5
0.279 0.199 0.184
se.emp 0.122 0.126 0.118
rel.bias -0.068 -0.003 -0.078
rel.bias.sd 0.405 0.630 0.591
power 0.995
t = 10
0.261 0.169 0.182
se.emp 0.113 0.108 0.117
rel.bias -0.131 -0.155 -0.090
rel.bias.sd 0.376 0.538 0.584
power 0.995
  1. Results for simulations based on a multivariate setting 10 with correlated markers, with 250 cases and 250 controls, μ = -3, and ρ = 0.5. The first three markers X1, X2, and X3 are associated with outcome. The power is calculated as the number of rejected null hypotheses over all simulations. Function b1 corresponds to a linear change, b2 exponential change and b3 logarithmic change in marker levels over time.