Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2018.09.001
Abstract: Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approach to analyzing longitudinal data is to use (generalized) linear mixed-effect models (GLMM). However,… read more here.
Keywords: machine; machine learning; framework; change ... See more keywords
Constrained Mixed-Effect Models with Ensemble Learning for Prediction of Nitrogen Oxides Concentrations at High Spatiotemporal Resolution.
Sign Up to like & getrecommendations! Published in 2017 at "Environmental science & technology"
DOI: 10.1021/acs.est.7b01864
Abstract: Spatiotemporal models to estimate ambient exposures at high spatiotemporal resolutions are crucial in large-scale air pollution epidemiological studies that follow participants over extended periods. Previous models typically rely on central-site monitoring data and/or covered short… read more here.
Keywords: nitrogen; spatiotemporal resolution; high spatiotemporal; concentrations high ... See more keywords
A new mathematical mixed effect model was used for analysing the influencing factors of hypoglycaemia of newborns from women with gestational diabetes mellitus
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Obstetrics and Gynaecology"
DOI: 10.1080/01443615.2022.2049723
Abstract: Abstract A mathematical mixed effect model was established to analyse the factors of neonatal hypoglycaemia of gestational diabetes mellitus (GDM). 229 cases of GDM patients were enrolled in this study. The data were analysed by… read more here.
Keywords: mathematical mixed; blood glucose; mixed effect; model ... See more keywords
Unit-Lindley mixed-effect model for proportion data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2020.1823946
Abstract: Recently, unit-Lindley distribution and its associated regression models have been developed as an alternative to Beta regression model for which continuous outcome in the unit interval . Proportion data usually occur in clinical trials, economics… read more here.
Keywords: unit; model; mixed effect; lindley mixed ... See more keywords
Epi-MEIF: detecting higher order epistatic interactions for complex traits using mixed effect conditional inference forests
Sign Up to like & getrecommendations! Published in 2022 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkac715
Abstract: Abstract Understanding the relationship between genetic variations and variations in complex and quantitative phenotypes remains an ongoing challenge. While Genome-wide association studies (GWAS) have become a vital tool for identifying single-locus associations, we lack methods… read more here.
Keywords: using mixed; mixed effect; higher order; effect conditional ... See more keywords