Analysis and modelling of competing risks survival data using modified Weibull additive hazards regression approach

Analysis of Competing Risks Data with Missing Cause of Failure under Additive Hazards Model

Competing risks data arise when study subjects may experience several different types of failure. It is common that the cause of failure is missing due to various reasons. Analysis of competing risks data with missing cause of failure has received considerable attention recently (Goetghebeur and Ryan (1995), Lu and Tsiatis (2001), Gao and Tsiatis (2005), among others). In this article, we study...

Simulating competing risks data in survival analysis.

Competing risks analysis considers time-to-first-event ('survival time') and the event type ('cause'), possibly subject to right-censoring. The cause-, i.e. event-specific hazards, completely determine the competing risk process, but simulation studies often fall back on the much criticized latent failure time model. Cause-specific hazard-driven simulation appears to be the exception; if done, ...

Cumulative incidence in competing risks data and competing risks regression analysis.

Competing risks occur commonly in medical research. For example, both treatment-related mortality and disease recurrence are important outcomes of interest and well-known competing risks in cancer research. In the analysis of competing risks data, methods of standard survival analysis such as the Kaplan-Meier method for estimation of cumulative incidence, the log-rank test for comparison of cum...

Survival Analysis and Regression Models in the Presence of Competing and Semi-competing Risks

Estimation of Weibull Parameters for Grouped Data with Competing Risks

When experimental units, on a cross-sectional or a longitudinal study, are followed up periodically, the event(s) of interest may only be known to have occurred between two dates of follow-up. In this case data are usually presented in form of counts of events in each of the follow-up intervals (grouped data). Furthermore, in studies of survival, subjects may be at risk of failure due to more t...