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Table 1 Logistic regression models: results from population data

From: Simulation of complex data structures for planning of studies with focus on biomarker comparison

Marker

OR per-SD

Lower 95%CI

Upper 95%CI

p-value

Brier score diff.

Increase in AUC

R 2 difference

MR-proADM

1.18

1.08

1.30

0.00035

-0.00048

0.00232

0.00349

Nt-proBNP

1.15

1.05

1.25

0.0017

-0.00033

0.00151

0.00272

hs-CRP

1.08

1.00

1.17

0.044

-0.00024

0.00084

0.00111

CT-proAVP

1.04

0.96

1.12

0.36

0.00000

0.00014

0.00022

MR-proANP

0.99

0.91

1.07

0.75

0.00000

-0.00004

0.00003

  1. All biomarkers were log-transformed. The models were adjusted for sex, age and bmi. The basic model had Brier score of 0.163, AUC of 0.759 and R 2 of 0.227