The PSMOOTH Procedure

Missing Values

Missing values in a sliding window, even at the center of the window, are simply ignored, and the number of hypotheses $L$ is reduced accordingly. Thus the smoothing methods can be applied to any window that contains at least one nonmissing value. Any $p$-values in the input data set that fall outside the interval [0,1] are treated as missing.