Identifiability conditions for covariate effects model on survival times under informative censoring
From MaRDI portal
Publication:973166
DOI10.1016/J.SPL.2010.01.027zbMath1187.62093OpenAlexW2062065896MaRDI QIDQ973166
Publication date: 28 May 2010
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2010.01.027
Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (5)
On the study of extremes with dependent random right-censoring ⋮ Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data ⋮ Marginal and Conditional Distribution Estimation from Double‐sampled Semi‐competing Risks Data ⋮ Copula identifiability conditions for dependent truncated data model ⋮ Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data
Cites Work
- An introduction to copulas.
- An analytic method for randomized trials with informative censoring. II
- An analytic method for randomized trials with informative censoring. I
- On semi-competing risks data
- Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring
- Estimating survival under a dependent truncation
- Regression Analysis Based on Semicompeting Risks Data
- Bivariate Survival Models Induced by Frailties
- Comparing two failure time distributions in the presence of dependent censoring
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- A Two‐Sample Comparison for Multiple Ordered Event Data
- Estimating the Association Parameter for Copula Models Under Dependent Censoring
- Semiparametric Analysis of Correlated Recurrent and Terminal Events
- Regression Modeling of Semicompeting Risks Data
- Semiparametric regression analysis of longitudinal data with informative drop-outs
- Rank Estimation of Accelerated Lifetime Models With Dependent Censoring
This page was built for publication: Identifiability conditions for covariate effects model on survival times under informative censoring