highly significantP < 0.001
Roger test confirmed a highly significant seasonality ( P < 0.001).
Roger test confirmed a highly significant seasonality ( P < 0.001).
Although the overall model was marginally nonsignificant (F = 4.25, P = 0.06), this may reflect limited power because of the fixed 12-month dataset rather than absence of association.