Estimation of Multi-state Models with Missing Covariate Values Based on Observed Data Likelihood
{{output}}
Continuous-time multi-state models are commonly used to study diseases with multiple stages. Potential risk factors associated with the disease are added to the transition intensities of the model as covariates, but missing covariate measurements arise frequen... ...