highly significantp -value < 2.2 × 10 − 16
The histogram of the distribution of the uncorrected p -values suggested that there was a highly significant excess of low p -values ( p -value < 2.2 × 10 − 16 ; Kolmogorov–Smirnov test; Fig. 2A ).
The histogram of the distribution of the uncorrected p -values suggested that there was a highly significant excess of low p -values ( p -value < 2.2 × 10 − 16 ; Kolmogorov–Smirnov test; Fig. 2A ).
This interpretation was supported by an increasing trend of the information criteria both from the Akaike information criterion (AIC) and the Bayesian information criterion (BIC), where lower values suggest relatively better models.