Methods for generating paired competing risks data

Background and Objectives. Clustered competing risks data arise often in genetic studies, multicenter investigations, and matched-pairs studies. In the last two decades, major advances in competing risks theory had been made. Many new statistical methods need to be evaluated via simulation studies. Some mechanisms for simulating clustered competing risks data have been considered in the literature. However, most of them produce data where the strength of the dependence between individuals within a cluster is not clear.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research