The estimation of treatment effect for the censored bivariate data under the univariate censoring
DOI10.1080/03610920008832486zbMath1026.62105OpenAlexW1993335229MaRDI QIDQ4550636
Byung Chun Kim, Choon-Mo Ahn, Sang-Gue Park
Publication date: 10 December 2003
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920008832486
quantile functiontreatment effectbivariate survival functionunivariate censoringBahadur type representationlocation shift model
Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Cites Work
- Empirical processes associated with V-statistics and a class of estimators under random censoring
- Quantile estimation of treatment effect for the two-sample problem with right censored data
- The product-limit estimator and the bootstrap: Some asymptotic representations
- Nonparametric Estimation from Incomplete Observations
- Approximation Theorems of Mathematical Statistics
- A general estimator of the treatment effect when the data are heavily censored
- A note on nonparametric estimators of the bivariate survival function under univariate censoring
- A simple nonparametric estimator of the bivariate survival function under univariate censoring
- Nonparametric estimators of the bivariate survival function under simplified censoring conditions
- Survival analyses in twin studies and matched pair experiments
- Linear Regression Analysis for Highly Stratified Failure Time Data
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