A competing risks model for correlated data based on the subdistribution hazard
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Publication:415601
DOI10.1007/S10985-011-9198-9zbMath1236.92037OpenAlexW2063984603WikidataQ33908677 ScholiaQ33908677MaRDI QIDQ415601
Gerarda A. Darlington, Anthony F. Desmond, Stephanie N. Dixon
Publication date: 8 May 2012
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-011-9198-9
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Medical epidemiology (92C60)
Related Items (2)
Bayesian inference of the fully specified subdistribution model for survival data with competing risks ⋮ Competing risks model for clustered data based on the subdistribution hazards with spatial random effects
Uses Software
Cites Work
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- On the Breslow estimator
- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- A two-stage estimator of the dependence parameter for the Clayton-Oakes model
- Analysis of multivariate survival data
- Assessing gamma frailty models for clustered failure time data
- Competing Risks
- Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
- Nonparametric Association Analysis of Bivariate Competing-Risks Data
- Multivariate Generalizations of the Proportional Hazards Model
- Bivariate Survival Models Induced by Frailties
- A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
- A Likelihood Based Estimating Equation for the Clayton–Oakes Model with Marginal Proportional Hazards
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Semiparametric Likelihood Estimation in the Clayton–Oakes Failure Time Model
- Competing Risks Analysis of Correlated Failure Time Data
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