A unified linear mixed model for familial relatedness and population structure in genetic association studies
Sign Up to like & getrecommendations! Published in 2020 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22371
Abstract: Familial relatedness (FR) and population structure (PS) are two major sources for genetic correlation. In the human population, both FR and PS can further break down into additive and dominant components to account for potential… read more here.
Keywords: unified linear; familial relatedness; mixed model; population ... See more keywords
Linear mixed models to handle missing at random data in trial‐based economic evaluations
Sign Up to like & getrecommendations! Published in 2022 at "Health Economics"
DOI: 10.1002/hec.4510
Abstract: Abstract Trial‐based cost‐effectiveness analyses (CEAs) are an important source of evidence in the assessment of health interventions. In these studies, cost and effectiveness outcomes are commonly measured at multiple time points, but some observations may… read more here.
Keywords: trial based; missing random; trial; linear mixed ... See more keywords
PBLMM: Peptide‐based linear mixed models for differential expression analysis of shotgun proteomics data
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cellular Biochemistry"
DOI: 10.1002/jcb.30225
Abstract: Here, we present a peptide‐based linear mixed models tool—PBLMM, a standalone desktop application for differential expression analysis of proteomics data. We also provide a Python package that allows streamlined data analysis workflows implementing the PBLMM… read more here.
Keywords: peptide based; proteomics data; based linear; differential expression ... See more keywords
Multikernel linear mixed model with adaptive lasso for complex phenotype prediction.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8477
Abstract: Linear mixed models (LMMs) and their extensions have been widely used for high-dimensional genomic data analyses. While LMMs hold great promise for risk prediction research, the high dimensionality of the data and different effect sizes… read more here.
Keywords: multikernel linear; genomic regions; adaptive lasso; model ... See more keywords
D-optimal designs for multi-response linear mixed models
Sign Up to like & getrecommendations! Published in 2019 at "Metrika"
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
On a class of bilevel linear mixed-integer programs in adversarial settings
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0549-2
Abstract: We consider a class of bilevel linear mixed-integer programs (BMIPs), where the follower’s optimization problem is a linear program. A typical assumption in the literature for BMIPs is that the follower responds to the leader… read more here.
Keywords: bilevel; bilevel linear; class bilevel; linear mixed ... See more keywords
Robust inference in linear mixed model with skew normal-symmetric error
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers of Mathematics in China"
DOI: 10.1007/s11464-017-0660-1
Abstract: Linear mixed effects models with general skew normal-symmetric (SNS) error are considered and several properties of the SNS distributions are obtained. Under the SNS settings, ANOVA-type estimates of variance components in the model are unbiased,… read more here.
Keywords: error; skew normal; normal symmetric; multivariate skew ... See more keywords
Interval Estimation of the Intra-class Correlation in General Linear Mixed Effects Models
Sign Up to like & getrecommendations! Published in 2021 at "Journal of statistical theory and practice"
DOI: 10.1007/s42519-021-00202-2
Abstract: The computation of confidence intervals for the intra-class correlation coefficient is addressed under general linear mixed effects models. Higher order asymptotic procedures are applied to derive accurate confidence intervals and are compared with a confidence… read more here.
Keywords: effects models; intra class; linear mixed; mixed effects ... See more keywords
Utility of linear mixed effects models for event-related potential research with infants and children
Sign Up to like & getrecommendations! Published in 2022 at "Developmental Cognitive Neuroscience"
DOI: 10.1016/j.dcn.2022.101070
Abstract: Event-related potentials (ERPs) are advantageous for investigating cognitive development. However, their application in infants/children is challenging given children’s difficulty in sitting through the multiple trials required in an ERP task. Thus, a large problem in… read more here.
Keywords: linear mixed; infants children; mixed effects; event related ... See more keywords
Hierarchical non-linear mixed-effects models for estimating growth parameters of western Mediterranean solitary coral populations
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2016.12.015
Abstract: Marine biologists usually assess coral growth through the von Bertalanffy growth function (VBGF), a function of several biological parameters linked to age by a non-linear relationship. Coral growth parameters are then evaluated via ordinary least… read more here.
Keywords: coral growth; non linear; hierarchical non; growth parameters ... See more keywords
Digital soil monitoring of top- and sub-soil pH with bivariate linear mixed models
Sign Up to like & getrecommendations! Published in 2018 at "Geoderma"
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