Table 2 summarizes fit statistics (AIC and BIC) and effect sizes for the preliminary analyses to inform selection of the PRS p-value threshold. The lowest values of both AIC and BIC were observed for the polygenic score based on p-value threshold of < .0001, indicating that the best model fit was obtained with PRS based on that threshold. Similarly, the absolute values of t for parameter estimates related to PRS were the largest with PRS based on p < .0001, indicating that the predictive power of PRS with that threshold was highest. Thus, a PRS based on a p < .0001 threshold was carried forward into subsequent analyses.
