Fitting monotone polynomials in mixed effects models
Sign Up to like & getrecommendations! Published in 2019 at "Statistics and Computing"
DOI: 10.1007/s11222-017-9797-8
Abstract: We provide a method for fitting monotone polynomials to data with both fixed and random effects. In pursuit of such a method, a novel approach to least squares regression is proposed for models with functional… read more here.
Keywords: monotone polynomials; polynomials mixed; mixed effects; fitting monotone ... 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
Three novel approaches to structural identifiability analysis in mixed-effects models
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.04.024
Abstract: BACKGROUND AND OBJECTIVE Structural identifiability is a concept that considers whether the structure of a model together with a set of input-output relations uniquely determines the model parameters. In the mathematical modelling of biological systems,… read more here.
Keywords: identifiability analysis; identifiability; mixed effects; structural identifiability ... See more keywords
On estimating long-run effects in models with lagged dependent variables
Sign Up to like & getrecommendations! Published in 2017 at "Economic Modelling"
DOI: 10.1016/j.econmod.2017.04.006
Abstract: This note points out the hazards of estimating long-run effects from models with lagged dependent variables. We use Monte Carlo experiments to demonstrate that this practice often fails to produce reliable estimates. Biases can be… read more here.
Keywords: lagged dependent; estimating long; run effects; effects models ... See more keywords
Correlated random effects models with unbalanced panels
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2018.12.010
Abstract: Abstract I propose some strategies for allowing unobserved heterogeneity to be correlated withobserved covariates and sample selection for unbalanced panels. The methods are extensions of the Chamberlain–Mundlak approach for balanced panels when explanatory variables are… read more here.
Keywords: effects models; random effects; correlated random; unbalanced panels ... See more keywords
Extending existing structural identifiability analysis methods to mixed-effects models.
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2017.10.009
Abstract: The concept of structural identifiability for state-space models is expanded to cover mixed-effects state-space models. Two methods applicable for the analytical study of the structural identifiability of mixed-effects models are presented. The two methods are… read more here.
Keywords: two methods; mixed effects; structural identifiability; extending existing ... See more keywords
Two novel mixed effects models for prognostics of rolling element bearings
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.06.004
Abstract: Abstract Rolling element bearings are widely used in various machines to support rotating shafts. Due to harsh working environments, the health condition of a bearing degrades over time. A typical bearing degradation process includes two… read more here.
Keywords: two mixed; error; mixed effects; element bearings ... See more keywords
Bayesian modeling of associations in bivariate piecewise linear mixed-effects models.
Sign Up to like & getrecommendations! Published in 2020 at "Psychological methods"
DOI: 10.1037/met0000358
Abstract: Longitudinal processes rarely occur in isolation; often the growth curves of 2 or more variables are interdependent. Moreover, growth curves rarely exhibit a constant pattern of change. Many educational and psychological phenomena are comprised of… read more here.
Keywords: mixed effects; bivariate piecewise; effects models; piecewise linear ... See more keywords
Estimating the impact of virus testing strategies on the COVID-19 case fatality rate using fixed-effects models
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-01034-7
Abstract: The SARS-CoV2 has now spread worldwide causing over four million deaths. Testing strategies are highly variable between countries and their impact on mortality is a major issue. Retrospective multicenter study with a prospective database on… read more here.
Keywords: testing strategies; case fatality; rate; using fixed ... See more keywords
An Examination of a Functional Mixed-Effects Modeling Approach to the Analysis of Longitudinal Data
Sign Up to like & getrecommendations! Published in 2019 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2018.1520626
Abstract: Abstract Growth curve modeling is one of the main analytical approaches to study change over time. Growth curve models are commonly estimated in the linear and nonlinear mixed-effects modeling framework in which both the mean… read more here.
Keywords: effects modeling; time; mixed effects; functional mixed ... See more keywords
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Statistical Association"
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