Table 3.

Multivariate Marker Results: A Single Marker is associated with Outcome

	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

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.