Sign Up to like & get
recommendations!
0
Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.394
Abstract: Abstract Nonlinear mixed effects (NLME) modeling is a powerful tool to analyze time-series data from several individual entities in an experiment. In this paper, we give a brief overview of a package for NLME modeling…
read more here.
Keywords:
effects modeling;
modeling deterministic;
mixed effects;
dynamical systems ... See more keywords
Sign Up to like & get
recommendations!
1
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
Sign Up to like & get
recommendations!
0
Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa130
Abstract: Genome-wide association studies (GWAS) using longitudinal phenotypes collected over time is appealing due to the improvement of power. However, computation burden has been a challenge because of the complex algorithms for modeling the longitudinal data.…
read more here.
Keywords:
genome wide;
association studies;
effects modeling;
mixed effects ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Canadian Journal of Forest Research"
DOI: 10.1139/cjfr-2020-0064
Abstract: Taper models are used to estimate the diameter at any height along the bole of a tree. Individual tree volume can then be calculated based on these diameters and corresponding heights. As tree diam...
read more here.
Keywords:
effects modeling;
taper;
incorporating stand;
density effects ... See more keywords