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. 2016 Jan;69:40–50. doi: 10.1016/j.jclinepi.2015.05.009

Table 2.

Joint predicted probability of “good” discrimination and calibration performance of the DVT model for each of the three implementation strategies, derived using the multivariate meta-analysis results for the C statistic and calibration slope shown in Table 1

Calibration slope required Minimum C statistic required Joint predicted probability of meeting criteria in new population
Strategy (1):
Develop using logistic regression and implement with intercept estimated in external validation study
Strategy (2):
Develop using logistic regression and implement with average study intercept taken from developed model
Strategy (3):
Develop using logistic regression and implement with intercept taken from a study used in development data with a similar prevalence
0.9–1.1 0.70 0.027 0.037 0.037
0.8–1.2 0.70 0.146 0.158 0.156
0.9–1.1 0.65 0.427 0.413 0.409
0.8–1.2 0.65 0.728 0.712 0.707

Abbreviation: DVT, deep vein thrombosis.