Analysis of Left-Truncated and Right-Censored Competing Risks Data—About Present and Future Perspectives—

Abstract

In survival analysis, dealing with truncated or competing risks data was a classical but, an important topic. Recently, Kundu et al. (2017) proposed a new statistical method for analyzing left-truncated and right-censored competing risks data, which require an assumption that the competing risks are independent of each other. However, the assumption may not hold in many applied studies. Therefore, I studied performances of the proposed method when it was applied to dependent competing risks data. Furthermore, I considered a new approach for analyzing such a dependent data.