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. 2019 Jun 27;19:179. doi: 10.1186/s12877-019-1192-1

Table 3.

Model performance in the pooled dataset and after internal-external cross-validation

Development of model Internal-external cross-validation
Apparent performance (in 4 pooled cohorts) Optimism-corrected performancea (in 4 pooled cohorts) Development in ELSA, InCHIANTI, LASA External validation in ActiFE-ULM Development in ActiFE-ULM, InCHIANTI, LASA External validation in ELSA Development in ActiFE-ULM, ELSA, LASA External validation in InCHIANTI Development in ActiFE-ULM, ELSA, InCHIANTI External validation in LASA
n = 2560 n = 2560 n = 2110 n = 450 n = 1424 n = 1136 n = 2090 n = 470 n = 2056 n = 504
Discrimination
 C statisticb 0.719 (0.717–0.721) 0.719 (0.716–0.720) 0.721 (0.719–0.723) 0.698 (0.695–0.700) 0.738 (0.736–0.740) 0.691 (0.687–0.694) 0.713 (0.712–0.716) 0.720 (0.718–0.723) 0.711 (0.709–0.713) 0.740 (0.738–0.742)
Calibration
 Interceptc 0.000 (0.000–0.000) 0.059 (0.047–0.073) 0.000 (0.000–0.000) 0.135 (0.113--0.159) 0.000 (0.000–0.000) − 0.271 (− 0.293- -0.263) 0.000 (0.000–0.000) − 0.116 (− 0.144- -0.103) 0.000 (0.000–0.000) − 0.096 (− 0.112- -0.976)
 Slopec 1.000 (1.000–1.000) 1.053 (1.042–1.065) 1.000 (1.000–1.000) 0.949 (0.931–0.958) 1.000 (1.000–1.000) 0.757 (0.739–0.769) 1.000 (1.000–1.000) 0.966 (0.949–0.981) 1.000 (1.000–1.000) 1.215 (1.191–1.228)

Values are median (IQR)

aOptimism 0.049–0.054, determined by internal validation in bootstrap samples (250 samples with replacement)

bC statistic of 0.50 represents no discrimination and 1.00 represents perfect discrimination

cIntercept of 0 and slope of 1 represent perfect calibration