Estimation of Kendall's tau under censoring
By Weijing Wang, Martin T. Wells. 2000
60 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/533af4c67d7ff5415a56c098ccc647fde2f24b95
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dipankar Bandyopadhyay
- Glen A. Satten
- Emily C. Martin
- Somnath Datta
- Rebecca A. Betensky
- Thomas H. Scheike
- Haolun Shi
- Nikos Nikiforakis
Citations in the corpus
- Inverse Probability of Censoring Weighted U‐statistics for Right‐Censored Data with an Application to Testing Hypotheses (2010, methodology): “Wang & Wells (2000) estimated using a suitable bivariate survival estimator into the integral form that defines .”
- Modelling stochastic mortality for dependent lives (2008, unknown): “In Section 3 we describe a copula calibration and selection methodology, consistent with the copula class suggested above, and originally proposed by Wang and Wells (2000b).”
- Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau (2005, methodology): “Away from the null, τ̃c is likely to deviate from τc, as in the case of Kendall’s tau applied to bivariate right-censored failure times (Wang and Wells 2000).”