Comparison of Semiparametric Regression Models for Correlated Survival Data Using Simulations
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Publication:3155373
DOI10.1081/STA-120037453zbMath1213.62069OpenAlexW2165394274MaRDI QIDQ3155373
Moez Sanaa, Stephane Robin, Jean-Jacques Daudin, Tristan Lorino
Publication date: 14 January 2005
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/sta-120037453
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Cites Work
- Some recent developments for regression analysis of multivariate failure time data
- Dependence estimation for marginal models of multivariate survival data.
- Asymptotic theory for the correlated gamma-frailty model
- On the Variances of Asymptotically Normal Estimators from Complex Surveys
- Understanding Cox's Regression Model: A Martingale Approach
- True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model
- Survival models for heterogeneous populations derived from stable distributions
- Partial likelihood
- A Method for Simulating Stable Random Variables
- Estimating Regression Parameters and Degree of Dependence for Multivariate Failure Time Data
- Estimating equations for hazard ratio parameters based on correlated failure time data
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