Spatial cluster detection of regression coefficients in a mixedâeffects 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
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
Comparison of pregnancy outcomes after vitrification at the cleavage and blastocyst stage: a meta-analysis
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Assisted Reproduction and Genetics"
DOI: 10.1007/s10815-017-1040-1
Abstract: ObjectiveThis systematic review sought to evaluate the clinical outcomes of vitrification at the cleavage stage and blastocyst stage for embryo transfer in patients undergoing assisted reproductive technology (ART) treatment.MethodsWe searched for related comparative studies published… read more here.
Keywords: pregnancy; pregnancy rate; effects model; rate ... See more keywords
A time-varying true individual effects model with endogenous regressors
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2019.01.014
Abstract: We propose a fairly general individual effects stochastic frontier model, which allows both heterogeneity and inefficiency to change over time. Moreover, our model handles the endogeneity problems if either at least one of the regressors… read more here.
Keywords: true individual; time; effects model; varying true ... See more keywords
An iterative sparse algorithm for the penalized maximum likelihood estimator in mixed effects model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.05.005
Abstract: Abstract In this paper, we propose a new iterative sparse algorithm (ISA) to compute the maximum likelihood estimator (MLE) or penalized MLE of the mixed effects model. The sparse approximation based on the arrow-head (A-H)… read more here.
Keywords: sparse algorithm; maximum likelihood; mixed effects; effects model ... See more keywords
A mixed-effects model approach for the statistical analysis of vocal fold viscoelastic shear properties.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the mechanical behavior of biomedical materials"
DOI: 10.1016/j.jmbbm.2017.08.006
Abstract: A mixed-effects model approach was introduced in this study for the statistical analysis of rheological data of vocal fold tissues, in order to account for the data correlation caused by multiple measurements of each tissue… read more here.
Keywords: viscoelastic shear; model approach; statistical analysis; mixed effects ... See more keywords
Estimating heterogeneity variances to select a random effects model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2018.12.003
Abstract: Abstract There are many collaborative studies where the reported within-study uncertainty estimates are unreliable but can be considered as lower bounds to the true uncertainties. This work is motivated by such examples; it provides a… read more here.
Keywords: random effects; variances select; heterogeneity variances; effects model ... See more keywords
Computations of predictors/estimators under a linear random-effects model with parameter restrictions
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1476714
Abstract: Abstract This paper considers the problem of simultaneously predicting/estimating unknown parameter spaces in a linear random-effects model with both parameter restrictions and missing observations. We shall establish explicit formulas for calculating the best linear unbiased… read more here.
Keywords: model parameter; parameter restrictions; random effects; effects model ... See more keywords
A Test of the Reciprocal-Effects Model of Academic Achievement and Academic Self-Concept in Regular Classes and Special Classes for the Gifted
Sign Up to like & getrecommendations! Published in 2017 at "Gifted Child Quarterly"
DOI: 10.1177/0016986216687824
Abstract: According to the reciprocal-effects model (REM), prior academic self-concept (ASC) has a positive effect on subsequent achievement beyond what can be explained in terms of prior achievement and vice versa. The present study investigated the… read more here.
Keywords: classes gifted; effects model; special classes; reciprocal effects ... See more keywords
A multiphase non-linear mixed effects model: An application to spirometry after lung transplantation
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214537255
Abstract: In medical sciences, we often encounter longitudinal temporal relationships that are non-linear in nature. The influence of risk factors may also change across longitudinal follow-up. A system of multiphase non-linear mixed effects model is presented… read more here.
Keywords: mixed effects; non linear; multiphase non; application ... See more keywords