Prediction of the 20-year incidence of diabetes in older Chinese: Application of the competing risk method in a longitudinal study

Abstract

The competing risk method has become more acceptable for time-to-event data analysis because of its advantage over the standard Cox model in accounting for competing events in the risk set. This study aimed to construct a prediction model for diabetes using a subdistribution hazards model

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