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Table 3 Multivariate Marker Results: A Single Marker is associated with Outcome

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

  uncorrelated correlated(ρ= 0.5)
  n= 250 n= 500 n= 250 n= 500
t = 0
0.305 0.302 0.303 0.298
se.emp 0.091 0.064 0.128 0.093
rel.bias 0.018 0.005 0.009 -0.005
rel.bias.sd 0.304 0.213 0.426 0.309
power 0.522 0.92 0.541 0.908
t = 5
0.285 0.281 0.282 0.278
se.emp 0.085 0.059 0.119 0.086
rel.bias -0.052 -0.064 -0.058 -0.072
rel.bias.sd 0.282 0.198 0.398 0.287
power 0.527 0.926 0.546 0.908
t = 10
0.266 0.263 0.264 0.261
se.emp 0.08 0.055 0.112 0.08
rel.bias -0.114 -0.124 -0.121 -0.13
rel.bias.sd 0.266 0.185 0.372 0.268
power 0.532 0.929 0.55 0.91
  1. Results for simulations based on a multivariate setting with 10 markers, where only X1 is associated with disease outcome with true β = 0.3, and μ = -3. Levels of X1 increases 1.5% per year. Simulations were performed with sample sizes n = 250 and n = 500. The power is calculated as the number of rejected null hypotheses over all simulations.