Regression estimation of the marginal models with general relative risk form for multivariate failure time data
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Publication:6074128
DOI10.1080/03610918.2021.1951759OpenAlexW3193695871MaRDI QIDQ6074128
Publication date: 18 September 2023
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1951759
semiparametric regressionproportional hazardsgeneralized estimating equationschi-squared testquadratic inference function
Cites Work
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- Improving generalised estimating equations using quadratic inference functions
- Asymptotic distribution theory for Cox-type regression models with general relative risk form
- Asymptotic theory for analyzing dose-response survival data with application to the low-dose extrapolation problem
- Regression estimation using multivariate failure time data and a common baseline hazard function model
- Marginal analysis for clustered failure time data
- Modelling Paired Survival Data with Covariates
- Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large
- Multivariate Generalizations of the Proportional Hazards Model
- General Relative Risk Models in Stratified Epidemiologic Studies
- Checking the marginal Cox model for correlated failure time data
- Checking the Cox model with cumulative sums of martingale-based residuals
- Semiparametric Mixed-Effects Models for Clustered Failure Time Data
- Additive Hazards Regression with Covariate Measurement Error
- Building Adaptive Estimating Equations When Inverse of Covariance Estimation is Difficult
- Improving Efficiency of Parameter Estimation in Case-Cohort Studies with Multivariate Failure Time Data
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