Efficient estimation for additive hazards regression with bivariate current status data
From MaRDI portal
Publication:424308
DOI10.1007/s11425-012-4381-3zbMath1387.62106OpenAlexW2164497396MaRDI QIDQ424308
Tao Hu, Jianguo Sun, Xing-wei Tong
Publication date: 31 May 2012
Published in: Science China. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-012-4381-3
efficient estimationcounting processesjoint survival functionbivariate current status datacopula model
Asymptotic properties of parametric estimators (62F12) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (2)
Estimation of partly linear additive hazards model with left-truncated and right-censored data ⋮ Regression analysis of informative current status data with the additive hazards model
Cites Work
- Unnamed Item
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- Efficient estimation for the proportional hazards model with bivariate current status data
- Convergence rate of sieve estimates
- Analysis of multivariate survival data
- Efficient estimation for the proportional hazards model with interval censoring
- The statistical analysis of interval-censored failure time data.
- On assessing the association for bivariate current status data
- Bayesian Models for Multivariate Current Status Data with Informative Censoring
- Statistical Inference Procedures for Bivariate Archimedean Copulas
- Bivariate current status data with univariate monitoring times
- 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
- Additive hazards regression with current status data
- Semiparametric analysis of the additive risk model
- Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
- Efficient estimation in additive hazards regression with current status data
- A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
- Age-Specific Incidence and Prevalence: A Statistical Perspective
- Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
- Regression Analysis of Multivariate Grouped Survival Data
- Testing Independence for Bivariate Current Status Data
This page was built for publication: Efficient estimation for additive hazards regression with bivariate current status data
