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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.