About conditional masking probability models

We study the existing models for right-censored competing risks data and with masked failure cause. By introducing a new random variable hidden behind the current models, we give a practical interpretation of the symmetry assumption made by almost all researchers in this field. We further point out that the drawback of the symmetry assumption is that it has a strong restriction on the underlying distribution function to be studied. Moreover, we correct an assumption in the current models.