A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data
From MaRDI portal
Publication:5023874
DOI10.1080/02331888.2021.1975712zbMath1493.62230arXiv2105.12325OpenAlexW3200997827MaRDI QIDQ5023874
E. P. Sreedevi, Sudheesh Kumar Kattumannil, Isha Dewan
Publication date: 25 January 2022
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2105.12325
Cites Work
- Unnamed Item
- Unnamed Item
- Characterization of discrete distributions by conditional variance
- An analysis of the length of hospital stay for cataract patients in Japan using the discrete-type proportional hazard model
- On assessing independence of competing risks when failure times are discrete
- A test for independence of competing risks with discrete failure times
- A simple approach for testing constant failure rate against different ageing classes for discrete data
- A note on the proportional hazards model with discontinuous data
- Proportional hazards model for discrete data: Some new developments
- Inverse Probability of Censoring Weighted U-statistics for Right-Censored Data with an Application to Testing Hypotheses
- Computer Age Statistical Inference
- Validation of discrete time‐to‐event prediction models in the presence of competing risks
- A nonidentifiability aspect of the problem of competing risks.
- On Testing Dependence between Time to Failure and Cause of Failure via Conditional Probabilities
- New non-parametric tests for independence
- A martingale-based test for independence of time to failure and cause of failure for competing risks models
- Test for independence between time to failure and cause of failure in competing risks with k causes
- Consistency and Unbiasedness of Certain Nonparametric Tests
- Some results on discrete mixture failure rates
This page was built for publication: A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data