Results 11 to 20 of about 17,929,783 (253)

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]

, 2011
Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas, Tutz, Gerhard
core   +3 more sources

Statistical model assumptions achieved by linear models: classics and generalized mixed

Revista Ciência Agronômica, 2020
When an agricultural experiment is completed and the data about the response variable is available, it is necessary to perform an analysis of variance.
Rita Carolina de Melo, Nicole Trevisani, Marcio dos Santos, Altamir Frederico Guidolin, Jefferson Luís Meirelles Coimbra   +4 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

Related factors of periodontal health among Chinese middle school students, findings from a national cross-sectional survey

BMC Oral Health, 2021
Background To investigate the related risk factors of periodontal health status among Chinese middle school students. Methods This study is a part of the Fourth National Oral Health Epidemiological Survey, which is by far the largest oral epidemiological
Jingyu Zhan, Yu Zhang, Xing Wang, Baojun Tai, Deyu Hu, Huancai Lin, Bo Wang, Yan Si, Chunxiao Wang, Shuguo Zheng, Xuenan Liu, Wensheng Rong, Weijian Wang, Xiping Feng, Xi Chen   +14 more
doaj   +1 more source

Modeling Northern Highbush Blueberry Cold Hardiness for the Pacific Northwest

HortScience, 2023
Freezing temperatures in fall, winter, and spring can cause damage to multiple perennial fruit crops including northern highbush blueberry (Vaccinium corymbosum).
Clark Kogan, Lisa W. DeVetter, Gwen-Alyn Hoheisel   +2 more
doaj   +1 more source

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

Open Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan, Sevim Ferhat, Kahraman Ümran Münire   +2 more
doaj   +1 more source

EcoCountHelper: an R package and analytical pipeline for the analysis of ecological count data using GLMMs, and a case study of bats in Grand Teton National Park [PDF]

PeerJ, 2022
Here we detail the use of an R package, ‘EcoCountHelper’, and an associated analytical pipeline aimed at making generalized linear mixed-effects model (GLMM)-based analysis of ecological count data more accessible.
Hunter J. Cole, Dylan GE Gomes, Jesse R. Barber   +2 more
doaj   +2 more sources

Comparison of linear mixed effects model and generalized model of the tree height-diameter relationship

Journal of Forest Science, 2015
Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
doaj   +1 more source

Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales - A case study for Masson pine in Southern China

Journal of Forest Science, 2012
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the application of generalized single-tree biomass models.
L.Y. Fu, W.S. Zeng, S.Z. Tang, R.P. Sharma, H.K. Li   +4 more
doaj   +1 more source

Child stunting prevalence determination at sector level in Rwanda using small area estimation

BMC Nutrition, 2023
Background Stunting among children under 5 years of age remains a worldwide concern, with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic Health Survey (RDHS) revealed that the prevalence of stunting in Rwanda among under ...
Innocent Ngaruye, Joseph Nzabanita, François Niragire, Theogene Rizinde, Joseph Nkurunziza, Jean Bosco Ndikubwimana, Charles Ruranga, Ignace Kabano, Dieudonne N. Muhoza, Jeanine Ahishakiye   +9 more
doaj   +1 more source