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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.

Jinheum KimHon Keung Tony NgSeong W Kim
Published in: Yonsei medical journal (2019)
The cutpoint estimator based on the maximally selected linear rank statistic was reasonable in terms of bias and standard deviation in the CR framework. The permutation-based test well satisfied type I error probability and provided higher power than the approximation-based test.
Keyphrases
  • human health
  • risk assessment
  • climate change
  • neural network