Semiparametric Global Cross‐ratio Models for Bivariate Censored Data
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Publication:5430610
DOI10.1111/J.1467-9469.2006.00512.XzbMath1164.62394OpenAlexW2083347351MaRDI QIDQ5430610
Publication date: 16 December 2007
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9469.2006.00512.x
Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
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Cites Work
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- An introduction to copulas. Properties and applications
- A two-stage estimator of the dependence parameter for the Clayton-Oakes model
- Weak convergence and empirical processes. With applications to statistics
- Two-stage estimation in copula models used in family studies
- Statistical Inference Procedures for Bivariate Archimedean Copulas
- Nonparametric Estimation of a Multivariate Distribution in the Presence of Censoring
- Bivariate Survival Models Induced by Frailties
- On assessing the strength of dependency between failure time variates
- Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
- Regression on hazard ratios and cross ratios in multivariate failure time analysis
- Marginal Regression Models for Clustered Ordinal Measurements
- On association in a copula with time transformations
- Semiparametric Likelihood Estimation in the Clayton–Oakes Failure Time Model
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