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Testing Similarity of Parametric Competing Risks Models for Identifying Potentially Similar Pathways in Healthcare by Möllenhoff, Kathrin; Binder, Nadine; Dette, Holger is a scholarly article available to read on EtoBox.

What is Testing Similarity of Parametric Competing Risks Models for Identifying Potentially Similar Pathways in Healthcare about?

The identification of similar patient pathways is a crucial task in healthcare analytics. A flexible tool to address this issue are parametric competing risks models, where transition intensities may be specified by a variety of parametric distributions, thus in particular being possibly time-dependent. We assess the similarity between two such models by examining the transitions between different health states. This research introduces a method to measure the maximum differences in transition intensities over time, leading to the development of a test procedure for assessing similarity. We propose a parametric bootstrap approach for this purpose and provide a proof to confirm the validity of this procedure. The performance of our proposed method is evaluated through a simulation study, considering a range of sample sizes, differing amounts of censoring, and various thresholds for similarity. Finally, we demonstrate the practical application of our approach with a case study from urological clinical routine practice, which inspired this research.

Author

Möllenhoff, Kathrin; Binder, Nadine; Dette, Holger

Published

2024

Language

EN