Random Partition Masking Model for Censored and Masked Competing Risks Data" Part I.
Abstract
We consider the parametric estimation with right-censored competing
risks data and with masked failure cause. We propose a new model,
called the Random Partition Masking (RPM) model, which is more general
than the existing Conditional Masking Probability (CMP) model with
symmetry assumption. This time I will show asymptotic properties of
MLE under RPM model. This is a joint work with Qiqing Yu, G.Y.C Wong,
Jiaping Wang.
