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Table 3 Measures of model performance for survival prediction

From: Epigenetic biomarkers of ageing are predictive of mortality risk in a longitudinal clinical cohort of individuals diagnosed with oropharyngeal cancer

Model

AIC

C-statistic (95% CI)

Clinical

486.93

0.75 (0.70, 0.80)

Clinical + EEAA

483.36

0.76 (0.71, 0.81)

Clinical + IEAA

488.14

0.76 (0.71, 0.81)

Clinical + IEAAHannum

480.10

0.77 (0.72, 0.82)

Clinical + AgeAccelGrim

473.14

0.78 (0.73, 0.83)

Clinical + AgeAccelPheno

485.52

0.76 (0.71, 0.81)

Clinical + ZhangScore

488.72

0.75 (0.70, 0.80)

  1. AgeAccelGrim, age acceleration based on DNAmGrimAge; AgeAccelPheno; age acceleration based on PhenoAge; AIC, Akaike information criterion; C-statistic, Harrell’s concordance statistic; EEAA, extrinsic epigenetic age acceleration; IEAA, intrinsic epigenetic age acceleration; ZhangScore, DNA methylation score based on CpG sites found to be associated with mortality risk; 95% CI, 95% confidence interval
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Clinical Epigenetics

ISSN: 1868-7083

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