Rank regression for accelerated failure time model with clustered and censored data
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Publication:901630
DOI10.1016/j.csda.2011.01.023zbMath1328.62564OpenAlexW2005101140MaRDI QIDQ901630
Publication date: 12 January 2016
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2011.01.023
covariance matrixsurvival dataclustered datarank estimationinduced smoothinggehan-type weight function
Asymptotic properties of parametric estimators (62F12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Point estimation (62F10) Censored data models (62N01)
Related Items (15)
Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models ⋮ Smoothed ranks for two or multi-sample location problems ⋮ Generalized estimating equations for analyzing multivariate survival data ⋮ Fitting semiparametric accelerated failure time models for nested case–control data ⋮ Rank-based inference for the accelerated failure time model in the presence of interval censored data ⋮ Efficient parameter estimation for multivariate accelerated failure time model via the quadratic inference functions method ⋮ Distributed smoothed rank regression with heterogeneous errors for massive data ⋮ Statistical inference on transformation models: a self-induced smoothing approach ⋮ Rank-based inference for the accelerated failure time model in the presence of interval censored data ⋮ Fast accelerated failure time modeling for case-cohort data ⋮ Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations ⋮ Jackknife empirical likelihood inference for the accelerated failure time model ⋮ Robust Smoothed Rank Estimation Methods for Accelerated Failure Time Model Allowing Clusters ⋮ Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data ⋮ An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
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