We propose a Weibull mixture model considering both covariates and unobserved heterogeneity to examine how demographic variables affect individual survival times and to derive the annual number of deaths. We analyze the records of patients diagnosed with lung and bronchus cancer, the most common...

This study suggests a model to forecast individual survival times with diagnosis record as covariates. The dataset is retrieved from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. It consists of demographic variables such as individual age,...