Linear Regression Analysis for Highly Stratified Failure Time Data

DOI10.2307/2290336zbMath0775.62171OpenAlexW4247246172MaRDI QIDQ5288912

Eric W. M. Lee, Zhiliang Ying, L. J. Wei

Publication date: 7 September 1993

Full work available at URL: https://doi.org/10.2307/2290336

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Reliability and life testing (62N05)

Related Items (24)

Local linear regression on correlated survival data ⋮ Nonparametric confidence intervals for the ratio of marginal hazard rates of paired survival times ⋮ The estimation of treatment effect for the censored bivariate data under the univariate censoring ⋮ Bayesian analysis of paired survival data using a bivariate exponential distribution ⋮ Nonparametric models for clustered data: Application to root survival study ⋮ Generalized estimating equations for analyzing multivariate survival data ⋮ Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton-Oakes model ⋮ Saddle-point p-values and confidence intervals based on log-rank tests when dependent subunits of clustered survival data are randomized by random allocation design ⋮ Test for Informative Cluster Size with Right Censored Survival Data ⋮ Rank regression for accelerated failure time model with clustered and censored data ⋮ Modeling the agreement of discrete bivariate survival times using kappa coefficient ⋮ Linear signed-rank tests for paired survival data subject to a common censoring time ⋮ An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model ⋮ Marginal accelerated hazard model with multivariate failure time data ⋮ Analysis of Failure Time Data with Mixed-Effects Accelerated Failure Time Model ⋮ Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations ⋮ Hierarchical Proportional Hazards Regression Models for Highly Stratified Data ⋮ A Linear Mixed‐Effects Model for Multivariate Censored Data ⋮ Marginal Analysis of Correlated Failure Time Data with Informative Cluster Sizes ⋮ Nonparametric models for clustered data: Application to root survival study ⋮ Nonparametric models for clustered data: Application to root survival study ⋮ Checking the linear transformation model for clustered failure time observations ⋮ Nonparametric Models and Methods for Designs with Dependent Censored Data: Part I ⋮ An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data

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