An Estimating Equation for Parametric Shared Frailty Models with Marginal Additive Hazards
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Publication:4665840
DOI10.1046/J.1369-7412.2003.05305.XzbMath1062.62224OpenAlexW2106686272WikidataQ57637855 ScholiaQ57637855MaRDI QIDQ4665840
Torben Martinussen, Christian Bressen Pipper
Publication date: 11 April 2005
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1046/j.1369-7412.2003.05305.x
Asymptotic properties of parametric estimators (62F12) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02)
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Cites Work
- Regression estimation using multivariate failure time data and a common baseline hazard function model
- A two-stage estimator of the dependence parameter for the Clayton-Oakes model
- Analysis of multivariate survival data
- A Likelihood Based Estimating Equation for the Clayton–Oakes Model with Marginal Proportional Hazards
- An Estimating Equation for Parametric Shared Frailty Models with Marginal Additive Hazards
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Semiparametric Likelihood Estimation in the Clayton–Oakes Failure Time Model
- Statistical models based on counting processes
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