Ontology highlight
ABSTRACT: Background
Considering the lack of efficient breast cancer prediction models suitable for general population screening in China. We aimed to develop a risk prediction model to identify high-risk populations, to help with primary prevention of breast cancer among Han Chinese women.Methods
A cause-specific competing risk model was used to develop the Han Chinese Breast Cancer Prediction model. Data from the Shandong Case-Control Study (328 cases and 656 controls) and Taixing Prospective Cohort Study (13,176 participants) were used to develop and validate the model. The expected/observed (E/O) ratio and C-statistic were calculated to evaluate calibration and discriminative accuracy of the model, respectively.Results
Compared with the reference level, the relative risks
SUBMITTER: Wang L
PROVIDER: S-EPMC6367757 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature