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...

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Detalles Bibliográficos
Autores principales: Kim, Jinheum, Ng, Hon Keung Tony, Kim, Seong W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2019
Materias:
Original Article
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

Internet

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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