Results 11 to 20 of about 134,460 (206)

Statistical Analysis of Zebrafish Locomotor Behaviour by Generalized Linear Mixed Models [PDF]

Scientific Reports, 2017
Upon a drastic change in environmental illumination, zebrafish larvae display a rapid locomotor response. This response can be simultaneously tracked from larvae arranged in multi-well plates.
Yiwen Liu, Ping Ma, Paige A. Cassidy, Robert Carmer, Gaonan Zhang, Prahatha Venkatraman, Skye A. Brown, Chi Pui Pang, Wenxuan Zhong, Mingzhi Zhang, Yuk Fai Leung   +10 more
doaj   +2 more sources

Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test

Applied Sciences, 2023
Generalized linear mixed models are commonly used in repeated measurement studies and account for the dependence between observations obtained from the same experimental unit.
Diana Arango-Botero, Freddy Hernández-Barajas, Alejandro Valencia-Arias   +2 more
doaj   +3 more sources

Implementation of generalized estimating equations and mixed linear models in Python [PDF]

Yixue xinzhi zazhi, 2022
Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by ...
Kui-Zhuang JIAO, Xu-Xi MA, Xiao-Qian MA, Chao-Yi LIU, Qing ZHANG, Lu MA   +5 more
doaj   +1 more source

CytoGLMM: conditional differential analysis for flow and mass cytometry experiments

BMC Bioinformatics, 2021
Background Flow and mass cytometry are important modern immunology tools for measuring expression levels of multiple proteins on single cells. The goal is to better understand the mechanisms of responses on a single cell basis by studying differential ...
Christof Seiler, Anne-Maud Ferreira, Lisa M. Kronstad, Laura J. Simpson, Mathieu Le Gars, Elena Vendrame, Catherine A. Blish, Susan Holmes   +7 more
doaj   +1 more source

Generalized linear mixed models can detect unimodal species-environment relationships [PDF]

PeerJ, 2013
Niche theory predicts that species occurrence and abundance show non-linear, unimodal relationships with respect to environmental gradients. Unimodal models, such as the Gaussian (logistic) model, are however more difficult to fit to data than linear ...
Tahira Jamil, Cajo J.F. ter Braak
doaj   +2 more sources

Bayesian Inference for Spatial Beta Generalized Linear Mixed Models [PDF]

Journal of Sciences, Islamic Republic of Iran, 2018
In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model
L. Kalhori Nadrabadi, M. Mohhamadzadeh
doaj   +1 more source

Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]

PeerJ, 2014
Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur, Nesil Coskunfirat, Osman Saka   +2 more
doaj   +2 more sources

Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data

Scientific African, 2021
The need to model count data correctly calls for introducting a flexible yet robust model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS) used in the past were considered unsuitable.
Olumide S. Adesina, Dawud A. Agunbiade, Pelumi E. Oguntunde   +2 more
doaj   +1 more source

Penalized Composite Likelihood Estimation for Spatial Generalized Linear Mixed Models [PDF]

Journal of Sciences, Islamic Republic of Iran
When discussing non-Gaussian spatially correlated variables, generalized linear mixed models have enough flexibility for modeling various data types. However, the maximum likelihood methods are plagued with substantial calculations for large data sets ...
Mohsen Mohammadzadeh, Leyla Salehi
doaj   +1 more source

Bayesian multilevel modelling of the association between socio-economic status and stunting among under-five-year children in Tanzania

Journal of Health, Population and Nutrition, 2023
Background Stunting is associated with socioeconomic status (SES) which is multidimensional. This study aimed to compare different SES indices in predicting stunting.
Edwin Musheiguza, Tukae Mbegalo, Justine N. Mbukwa   +2 more
doaj   +1 more source