Frailty proportional mean residual life regression for clustered survival data: A hierarchical quasi-likelihood method.
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DOI: 10.1002/sim.8338
Abstract: Frailty models are widely used to model clustered survival data arising in multicenter clinical studies. In the literature, most existing frailty models are proportional hazards, additive hazards, or accelerated failure time model based. In this… read more here.
Keywords: likelihood; survival data; clustered survival; frailty ... See more keywords
Quasi-likelihood estimation of structure-changed threshold double autoregressive models
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DOI: 10.1016/j.jspi.2019.06.008
Abstract: Abstract This paper investigates the quasi-maximum likelihood estimator (QMLE) of the structure-changed and two-regime threshold double autoregressive model. It is shown that both the estimated threshold and change-point are n -consistent, and they converge weakly… read more here.
Keywords: threshold double; double autoregressive; structure changed; likelihood estimation ... See more keywords
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach
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DOI: 10.1080/01621459.2021.1888740
Abstract: Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown parameters in linear mixed-effects models with high-dimensional fixed effects. The… read more here.
Keywords: likelihood approach; effects models; inference; mixed effects ... See more keywords
Asymptotic properties of approximate maximum quasi-likelihood estimator in quasi-likelihood nonlinear models with random effects
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DOI: 10.1080/03610926.2018.1440311
Abstract: ABSTRACT Quasi-likelihood nonlinear models with random effects (QLNMWRE) include generalized linear models with random effects and quasi-likelihood nonlinear models as special cases. In this paper, some regularity conditions analogous to those given by Breslow and… read more here.
Keywords: nonlinear models; models random; likelihood nonlinear; random effects ... See more keywords
Laplace approximation, penalized quasi-likelihood, and adaptive Gauss–Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with sparse data
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DOI: 10.1186/s12874-020-01035-6
Abstract: Background In meta-analyses of a binary outcome, double zero events in some studies cause a critical methodology problem. The generalized linear mixed model (GLMM) has been proposed as a valid statistical tool for pooling such… read more here.
Keywords: laplace approximation; methodology; penalized quasi; quasi likelihood ... See more keywords