Extending multivariate Student's‐ t$$ t $$ semiparametric mixed models for longitudinal data with censored responses and heavy tails
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9443
Abstract: This article extends the semiparametric mixed model for longitudinal censored data with Gaussian errors by considering the Student's t$$ t $$ ‐distribution. This model allows us to consider a flexible, functional dependence of an outcome… read more here.
Keywords: extending multivariate; student semiparametric; multivariate student; semiparametric mixed ... See more keywords
D-optimal designs for multi-response linear mixed models
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DOI: 10.1007/s00184-018-0679-7
Abstract: Linear mixed models have become popular in many statistical applications during recent years. However design issues for multi-response linear mixed models are rarely discussed. The main purpose of this paper is to investigate D-optimal designs… read more here.
Keywords: multi response; mixed models; response linear; linear mixed ... See more keywords
Multi-environmental evaluation of winter oilseed rape genotypic performance using mixed models
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DOI: 10.1007/s10681-020-02760-1
Abstract: The production of winter oilseed rape (WOSR) (Brassica napus) together with increasing seed yields per hectare is one of the strategies for breeding the genetic base of oilseed rape genotypes adapted to different environments. The… read more here.
Keywords: winter oilseed; rape; mixed models; oilseed rape ... See more keywords
What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns
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DOI: 10.1007/s11136-021-03037-3
Abstract: Although multiple imputation is the state-of-the-art method for managing missing data, mixed models without multiple imputation may be equally valid for longitudinal data. Additionally, it is not clear whether missing values in multi-item instruments should… read more here.
Keywords: imputation; multiple imputation; mixed models; approach mixed ... See more keywords
Digital soil monitoring of top- and sub-soil pH with bivariate linear mixed models
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DOI: 10.1016/j.geoderma.2018.02.033
Abstract: Abstract Intensive agricultural management practices and fluctuating rainfall patterns have the potential to significantly impact the status and change of important soil properties. This study looks at the change in soil pH during a 13-year… read more here.
Keywords: time; mixed models; bivariate linear; soil ... See more keywords
Robust designs for generalized linear mixed models with possible model misspecification
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2020.04.006
Abstract: Abstract We study robust designs for generalized linear mixed models (GLMMs) with protections against possible departures from underlying model assumptions. Among various types of model departures, an imprecision in the assumed linear predictor or the… read more here.
Keywords: robust designs; designs generalized; generalized linear; model ... See more keywords
Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data
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DOI: 10.1016/j.sciaf.2021.e00963
Abstract: Abstract The need to model count data correctly calls for the introduction of a flexible yet a strong model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS)… read more here.
Keywords: generalized linear; bayesian dirichlet; mixed models; count data ... See more keywords
Fixed Effects Testing in High-Dimensional Linear Mixed Models
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DOI: 10.1080/01621459.2019.1660172
Abstract: Abstract Many scientific and engineering challenges—ranging from pharmacokinetic drug dosage allocation and personalized medicine to marketing mix (4Ps) recommendations—require an understanding of the unobserved heterogeneity to develop the best decision making-processes. In this article, we… read more here.
Keywords: testing high; effects testing; model; mixed models ... See more keywords
Bayesian model selection in linear mixed models for longitudinal data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1657814
Abstract: ABSTRACT Linear mixed models (LMMs) are popular to analyze repeated measurements with a Gaussian response. For longitudinal studies, the LMMs consist of a fixed part expressing the effect of covariates on the mean evolution in… read more here.
Keywords: bayesian model; selection; model; mixed models ... See more keywords
Shrinkage estimation of fixed and random effects in linear quantile mixed models
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DOI: 10.1080/02664763.2021.1962262
Abstract: This paper presents a Bayesian analysis of linear mixed models for quantile regression using a modified Cholesky decomposition for the covariance matrix of random effects and an asymmetric Laplace ... read more here.
Keywords: shrinkage estimation; estimation fixed; fixed random; random effects ... See more keywords
A gradient-based deletion diagnostic measure for generalized linear mixed models
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2015.1030956
Abstract: ABSTRACT A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear mixed models. Its performance is assessed by some real examples and simulation studies, in terms of ability in detecting influential data… read more here.
Keywords: gradient based; generalized linear; diagnostic measure; mixed models ... See more keywords