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Updated: Jan 20, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A risk score predicting new incidence of hypertension in Japan
Yuka Kadomatsu1,2, Mineko Tsukamoto3, Tae Sasakabe3,4
1Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. yuka.kadomatsu@gmail.com.
Abstract:
The prevention of hypertension starts with the awareness of risk. Our aim was to construct a simple and well-validated risk model for nonhypertensive people in Japan consisting of basic clinical variables, using a dataset for two areas derived from the Japan Multi-Institutional Collaborative Cohort Study. We constructed a continuous-value model using data on 5105 subjects participating in both the baseline survey and a second survey conducted after 5 years. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow χ2 statistic for the entire cohort were 0.826 and 7.06, respectively. For validation, the entire cohort was randomly divided 100 times into derivation and validation sets at a ratio of 6:4. The summarized median AUC and the Hosmer-Lemeshow χ2 statistic were 0.83 and 12.2, respectively. The AUC of a point-based model consisting of integer scores assigned to each variable was 0.826 and showed no difference, compared with the continuous-value model. This simple risk model may help the general population to assess their risks of new-onset hypertension.
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