Results 31 to 40 of about 3,858,904 (290)

A review of R-packages for random-intercept probit regression in small clusters

Frontiers in Applied Mathematics and Statistics, 2016
Generalized Linear Mixed Models (GLMMs) are widely used to model clustered categorical outcomes. To tackle the intractable integration over the random effects distributions, several approximation approaches have been developed for likelihood-based ...
Haeike Josephy, Tom Loeys, Yves Rosseel
doaj   +1 more source

Genetic parameters of traits at the juvenile stage of different assai palm tree progenies [PDF]

Pesquisa Agropecuária Brasileira, 2018
: The objective of this work was to estimate genetic parameters of traits at the juvenile stage of different assai palm (Euterpe oleracea) tree progenies, as well as to select among and within the most promising for fruit production.
Patricia Cardoso Andrade Navegantes, Maria do Socorro Padilha de Oliveira, José Airton Rodrigues Nunes   +2 more
doaj   +1 more source

Accounting for Population Structure and Phenotypes From Relatives in Association Mapping for Farm Animals: A Simulation Study

Frontiers in Genetics, 2021
Population structure or genetic relatedness should be considered in genome association studies to avoid spurious association. The most used methods for genome-wide association studies (GWAS) account for population structure but are limited to genotyped ...
Enrico Mancin, Enrico Mancin, Daniela Lourenco, Matias Bermann, Roberto Mantovani, Ignacy Misztal   +5 more
doaj   +1 more source

Half-Normal Plots and Overdispersed Models in R: The hnp Package

Journal of Statistical Software, 2017
Count and proportion data may present overdispersion, i.e., greater variability than expected by the Poisson and binomial models, respectively. Different extended generalized linear models that allow for overdispersion may be used to analyze this type of
Rafael A Moral, John Hinde, Clarice G B Demétrio   +2 more
doaj   +1 more source

Cluster Correlation in Mixed Models [PDF]

, 2000
We evaluate the dependence of the cluster correlation length r_c on the mean intercluster separation D_c, for three models with critical matter density, vanishing vacuum energy (Lambda = 0) and COBE normalized: a tilted CDM (tCDM) model (n=0.8) and two ...
A. Gardini, Baugh C. M., Cole S., Croft R. A. C., Croft R. A. C., Efstathiou G., Eke V. R., G. Murante, G. Yepes, Klypin A., Liddle A. R., Nichol R. C., Peacock J. A., Peacock J. A., Peacock J. A., S. A. Bonometto, Sutherland W. J.   +16 more
core   +2 more sources

Functional Additive Mixed Models [PDF]

Journal of Computational and Graphical Statistics, 2015
26 pages, 8 ...
Scheipl, Fabian, Staicu, Ana-Maria, Greven, Sonja   +2 more
openaire   +3 more sources

Estimação de componentes de variância sob influência de genes de efeito principal, comparando-se metodologias Bayesiana e clássica sob diferentes cenários Estimation of variance components under major genes influence, comparing Bayesian and classical methodologies under different scenarios

Revista Brasileira de Zootecnia, 2007
Quatro diferentes tipos de população foram simulados com o objetivo de verificar a influência de genes de efeito principal e do tamanho da população na estimação de componentes de variância sob seleção.
Giselle Mariano Lessa de Assis, José Marques Carneiro Júnior, Ricardo Frederico Euclydes, Robledo de Almeida Torres, Paulo Sávio Lopes   +4 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Multi-environmental evaluation of sorghum hybrids during off-season in Brazil

Pesquisa Agropecuária Brasileira, 2022
The objective of this work was to simultaneously select pre-commercial grain sorghum hybrids with high adaptability and yield stability, through mixed modeling, in 20 environments, during six years. The evaluated plant material consisted of 57 commercial
Karla Jorge da Silva, Cicero Beserra de Menezes, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Crislene Vieira dos Santos, Alexon Fernandes Campos, Abner José de Carvalho, Edmilson da Silva Barbosa   +7 more
doaj   +1 more source

Nonlinear quantile mixed models

, 2019
In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is non ...
Geraci, Marco
core   +1 more source