Forest plot showing survival c-statistics for selected models, applied to the testing cohort. Forest plot showing survival c-statistics for selected models,

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Presentation transcript:

Forest plot showing survival c-statistics for selected models, applied to the testing cohort. Forest plot showing survival c-statistics for selected models, applied to the testing cohort. Harrell's c-statistics (with 95% confidence interval) for the Cox models that have Akaike information criteria (AICs) at the base of each column (except the first) in figure 3, that is, models that have the best AIC for a given number of variables. Risk scores derived from these models were evaluated in the testing cohort of non-Glaswegian women. The variable list shown builds downwards, adding to the existing variables; for example, the c-statistic shown in the third row is for the model that comprises age, smoking status and body mass index, which is the model that gave the AIC at the base of the column labelled ‘3’ in figure 3. BMI, body mass index; HDLC, high-density lipoprotein-cholesterol; SBP, systolic blood pressure; TC, total cholesterol. Mark Woodward et al. Heart 2017;103:538-545 Copyright © BMJ Publishing Group Ltd & British Cardiovascular Society. All rights reserved.