%0 Journal Article
%T Assessing the Optimal Cutpoint for Tumor Size in Patients with Lung Cancer Based on Linear Rank Statistics in a Competing Risks Framework
%A Hon Keung Tony Ng
%A Jinheum Kim
%A Seong W. Kim
%J Archive of "Yonsei Medical Journal".
%D 2019
%R 10.3349/ymj.2019.60.6.517
%X 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 factors on censored outcomes in the presence of CR
%K Competing risks
%K cutpoint
%K Gray's statistic
%K maximally selected linear rank statistic
%K permutation test
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6536389/