More powerful logrank permutation tests for two-sample survival data
Author:
Affiliation:
1. Department of Statistics, TU Dortmund University, Dortmund, Germany
2. Department of Medical Statistics, University Medical Centre Goettingen, Göttingen, Germany
Funder
Deutsche Forschungsgemeinschaft
Publisher
Informa UK Limited
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1773463
Reference49 articles.
1. Asymptotically Efficient Rank Invariant Test Procedures
2. Statistical Models Based on Counting Processes
3. Non-parametric Tests for Censored Data
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