تقرير
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
العنوان: | Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare |
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المؤلفون: | Möllenhoff, Kathrin, Binder, Nadine, Dette, Holger |
سنة النشر: | 2024 |
المجموعة: | Statistics |
مصطلحات موضوعية: | Statistics - Methodology, Statistics - Applications |
الوصف: | 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. Comment: 21 pages, 6 figures |
نوع الوثيقة: | Working Paper |
الوصول الحر: | http://arxiv.org/abs/2401.04490Test |
رقم الانضمام: | edsarx.2401.04490 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |