Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions

No abstract is available for this paper.

• Publication year

  2021

• Venue

  Computational statistics (Zeitschrift)

• Publication date

  2021-03-26

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/s00180-021-01094-3
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Counting Processes And Survival Analysis

  2016influential reference
• Extending the Archimedean copula methodology to model multivariate survival data grouped in clusters of variable size

  2014cited by this paper
• Densities of nested Archimedean copulas

  2012cited by this paper
• Frailty Model

  2011cited by this paper
• Efficiently sampling nested Archimedean copulas

  2011cited by this paper
• A Gaussian Copula Model for Multivariate Survival Data

  2010cited by this paper
• Frailty Models in Survival Analysis

  2010cited by this paper
• Semiparametric Maximum Likelihood Estimation in Normal Transformation Models for Bivariate Survival Data.

  2008cited by this paper
• Sampling nested Archimedean copulas

  2008cited by this paper
• Analysis of Failure Time Data with Multilevel Clustering, with Application to the Child Vitamin A Intervention Trial in Nepal

  2007cited by this paper
• Nested frailty models using maximum penalized likelihood estimation

  2006cited by this paper
• Semiparametric Normal Transformation Models for Spatially Correlated Survival Data

  2006cited by this paper
• Prehistory of Faà di Bruno's Formula

  2005influential reference
• Composite likelihood estimation in multivariate data analysis

  2005cited by this paper
• Random effects Cox models: A Poisson modelling approach

  2003cited by this paper
• Within‐cluster resampling

  2001cited by this paper
• A Two-Stage Estimator of the Dependence Parameter for the Clayton-Oakes Model

  2000cited by this paper
• Multivariate models and dependence concepts

  1998cited by this paper
• An Introduction to Copulas

  1998cited by this paper
• A nested frailty model for survival data, with an application to the study of child survival in northeast Brazil.

  1997cited by this paper
• Multivariate Models and Multivariate Dependence Concepts

  1997influential reference
• Modelling failure-time associations in data with multiple levels of clustering

  1996cited by this paper
• Inferences on the association parameter in copula models for bivariate survival data.

  1995cited by this paper
• Parametric families of multivariate distributions with given margins

  1993cited by this paper
• Counting Processes and Survival Analysis

  1991cited by this paper

• A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence

  2026cites this paper
• Reconstructing Coupled Blade Pitch Moments of Large Wind Turbines using Multidimensional Copula-Based Method

  2026cites this paper
• A copula duration model with dependent states and spells

  2024cites this paper
• Evaluation of Regional Drought Evolution and Regularity Based on Cloud Computing Model and Copula Function

  2023cites this paper