Results 1 to 10 of about 396,077 (160)
Modelling child anaemia and co-existing infections using log-linear models [PDF]
Malaria JournalBackground Uganda grapples with a considerable anaemia-malaria-fever burden, reporting approximate prevalence rates as high as 33%, 34%, and 37% in specific regions.
Grace Kakaire +3 more
doaj +2 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.
D V Gokhale
openaire +4 more sources
Heatmaps for Patterns of Association in log-Linear Models
Socius, 2020 Log-linear models offer a detailed characterization of the association between categorical variables, but the breadth of their outputs is difficult to grasp because of the large number of parameters these models entail.
Mauricio Bucca
doaj +2 more sources
Log-Linear Models for Gene Association. [PDF]
J Am Stat Assoc, 2009 We describe a class of log-linear models for the detection of interactions in high-dimensional genomic data. This class of models leads to a Bayesian model selection algorithm that can be applied to data that have been reduced to contingency tables using ranks of observations within subjects, and discretization of these ranks within gene/network ...
Hu J, Joshi A, Johnson VE.
europepmc +5 more sources
Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models
Mathematics, 2023 Graphical log-linear models are effective for representing complex structures that emerge from high-dimensional data. It is challenging to fit an appropriate model in the high-dimensional setting and many existing methods rely on a convenient class of ...
Lyndsay Roach, Xin Gao
doaj +1 more source
Exact Hypothesis Tests for Log-linear Models with exactLoglinTest
Journal of Statistical Software, 2006 This manuscript overviews exact testing of goodness of fit for log-linear models using the R package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal sufficient statistics to remove nuisance ...
Brian Caffo
doaj +3 more sources
Restricted graphical log-linear models
Austrian Journal of Statistics, 2015 We introduce a new type of graphical log-linear model called restricted graphical log-linear model. This model is obtained by imposing equality restrictions on subsets of main effects and of first-order interactions.
Ricardo Ramírez-Aldana +1 more
doaj +1 more source
DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS
Ecosistemas y Recursos Agropecuarios, 2014 a procedure is definid for obtaining maximun likelihood estimates for the parameters of a family of log - linear models which includes the general log - linear model, logit models, multinominal logit models, and association models as well as models for ...
Robert J. Flowers
doaj +1 more source
Revista de Saúde Pública, 1998 OBJETIVO: Complementar dados de investigação anterior sobre o risco de indução de câncer devido à ingestão de 226Ra, 228Ra e 222Rn em fontes de águas minerais de uma região de altos níveis de radioatividade natural, do Brasil.
Eduardo Freitas da Silva +1 more
doaj +1 more source
Computation, 2022 Over the past decade, a series of procedures has been introduced to estimate, using a non-iterative method, the linear-by-linear association parameter of an ordinal log-linear model.
Sidra Zafar +3 more
doaj +1 more source