Spatial cluster detection of regression coefficients in a mixed‐effects model
Sign Up to like & getrecommendations! Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2578
Abstract: Identifying spatial clusters of different regression coefficients is a useful tool for discerning the distinctive relationship between a response and covariates in space. Most of the existing cluster detection methods aim to identify the spatial… read more here.
Keywords: cluster detection; detection; regression coefficients; mixed effects ... See more keywords
Intraclass correlation: Improved modeling approaches and applications for neuroimaging
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.23909
Abstract: Intraclass correlation (ICC) is a reliability metric that gauges similarity when, for example, entities are measured under similar, or even the same, well‐controlled conditions, which in MRI applications include runs/sessions, twins, parent/child, scanners, sites, and… read more here.
Keywords: modeling approaches; intraclass correlation; icc; mixed effects ... See more keywords
Influence of Renal Function on Phosphoramide Mustard Exposure: A Nonlinear Mixed‐Effects Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Clinical Pharmacology"
DOI: 10.1002/jcph.2144
Abstract: Phosphoramide mustard (PM) is the final cytotoxic metabolite formed from the parent compound cyclophosphamide through a complex metabolic pathway, primarily through hepatic metabolism. Little is known about the effect of renal elimination on the disposition… read more here.
Keywords: mixed effects; function; phosphoramide mustard; renal function ... See more keywords
Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7256
Abstract: We propose a semiparametric nonlinear mixed-effects model (SNMM) using penalized splines to classify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone levels… read more here.
Keywords: information; pregnancy; penalized splines; mixed effects ... See more keywords
A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8844
Abstract: Dental caries (i.e., cavities) is one of the most common chronic childhood diseases and may continue to progress throughout a person's lifetime. The Iowa Fluoride Study (IFS) was designed to investigate the effects of various… read more here.
Keywords: maxwell poisson; effects model; mixed effects; conway maxwell ... See more keywords
Defining R‐squared measures for mixed‐effects location scale models
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9521
Abstract: Ecological momentary assessment and other modern data collection technologies facilitate research on both within‐subject and between‐subject variability of health outcomes and behaviors. For such intensively measured longitudinal data, Hedeker et al extended the usual two‐level… read more here.
Keywords: mixed effects; defining squared; measures mixed; squared measures ... See more keywords
Fast estimation of mixed‐effects location‐scale regression models
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9679
Abstract: As a result of advances in data collection technology and study design, modern longitudinal datasets can be much larger than they historically have been. Such “intensive" longitudinal datasets are rich enough to allow for detailed… read more here.
Keywords: mixed effects; fast estimation; effects location; regression models ... See more keywords
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
Partitioning the variability of daily emotion dynamics in dyadic interactions with a mixed-effects location scale model
Sign Up to like & getrecommendations! Published in 2017 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2017.05.005
Abstract: We examine the daily exchanges in affect and emotional experiences of individuals in dyads using a mixed-effects location scale model. We argue that this method is useful to characterize the daily fluctuations in emotions for… read more here.
Keywords: location scale; emotion dynamics; effects location; mixed effects ... See more keywords