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Assessing the Optimal Cutpoint for Tumor Size in Patients with Lung Cancer Based on Linear Rank Statistics in a Competing Risks Framework
PURPOSE: In clinical studies, patients may experience several types of events during follow up under the competing risks (CR) framework. Patients are often classified into low- and high-risk groups based on prognostic factors. We propose a method to determine an optimal cutpoint value for prognostic...
Autores principales: | Kim, Jinheum, Ng, Hon Keung Tony, Kim, Seong W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536389/ https://www.ncbi.nlm.nih.gov/pubmed/31124334 http://dx.doi.org/10.3349/ymj.2019.60.6.517 |
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