five

The predictive performance of PRS models.

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/The_predictive_performance_of_PRS_models_/19412395
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For each trait (Trait category, GBE_ID, and Trait Name), we show the types of link functions in a generalized linear model (GLM family column, Gaussian for quantitative traits and binomial for binary traits), the population split (population), the types of the predictive model (model column), the types of evaluation metric (R2 [R2], Nagelkerke’s pseudo-R2 [NagelkerkeR2], AUROC [AUC], or Tjur’s Coefficient of Discrimination [TjurR2]), the value of the specified metric and its lower and upper bound of 95% confidence interval, and the statistical significance (p-value). (XLSX)
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2022-03-24
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