Results 21 to 30 of about 631,292 (281)

Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method [PDF]

BMC Medical Research Methodology
Introduction and objectives Over recent decades, the exponential growth of data, especially in healthcare, has necessitated advanced analytical methods. Conventional machine learning algorithms often assume independence among data points, limiting their ...
Fariba Asadi, Reza Homayounfar, Yaser Mehrali, Chiara Masci, Farid Zayeri   +4 more
doaj   +2 more sources

Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization

Axioms, 2022
Many parts of big data, such as web documents, online posts, papers, patents, and articles, are in text form. So, the analysis of text data in the big data domain is an important task.
Sunghae Jun
doaj   +1 more source

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

Genotype Selection for Grain Yield of Sorghum through Generalized Linear Mixed Model

Agronomy, 2023
The classical model only provides a correct analysis if all the effects are fixed. For experiments that include fixed and random effects, the general linear mixed model is appropriate for handling the non-normal distributed response variables. The aim of
Mulugeta Tesfa, Temesgen Zewotir, Solomon Assefa Derese, Denekew Bitew Belay, Mark Laing   +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

Regularization for Generalized Additive Mixed Models by Likelihood-Based Boosting [PDF]

, 2011
With the emergence of semi- and nonparametric regression the generalized linear mixed model has been expanded to account for additive predictors. In the present paper an approach to variable selection is proposed that works for generalized additive mixed
Groll, Andreas, Tutz, Gerhard
core   +4 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

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

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence [PDF]

, 2015
A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context.
Aas K, Aristidis K Nikoloulopoulos, Brenner H, Chu H, Chu H, Demidenko E, Genest C, Genest C, Genest C, Hamza TH, Hoyer A, Hua L, Hult H, Joe H, Joe H, Joe H, Joe H, Joe H, Karageorgopoulos DE, Kurowicka D, Kuss O, Leeflang MMG, Leeflang MMG, Ma X, Mavridis D, McNeil AJ, Nash JC, Nelsen RB, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Panagiotelis A, Paul M, Serfling RJ, Shen C, Stroud AH, Vuong QH, Ye Y   +41 more
core   +2 more sources

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