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Exact Hypothesis Tests for Log-linear Models with exactLoglinTest [PDF]

open access: yesJournal 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   +4 more sources

Modelling child anaemia and co-existing infections using log-linear models [PDF]

open access: yesMalaria Journal
Background 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

Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models

open access: yesMathematics, 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

Restricted graphical log-linear models

open access: yesAustrian 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

Log-mean linear models for binary data [PDF]

open access: yes, 2012
This paper introduces a novel class of models for binary data, which we call log-mean linear models. The characterizing feature of these models is that they are specified by linear constraints on the log-mean linear parameter, defined as a log-linear ...
A. Roverato   +4 more
core   +3 more sources

DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS

open access: yesEcosistemas 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

Heatmaps for Patterns of Association in log-Linear Models

open access: yesSocius, 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   +1 more source

Asymptotic Characteristics of the Non-Iterative Estimates of the Linear-by-Linear Association Parameter for Ordinal Log-Linear Models

open access: yesComputation, 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

Avaliação das estruturas de concordância e discordância nos estudos de confiabilidade Rating of the structures of agreement and disagreement in reliability studies

open access: yesRevista 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

A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models

open access: yesJournal of Agricultural and Resource Economics, 2002
This study extends LaFrance's (1985, 1986, 1990) previous research by deriving the necessary parameter restrictions for two additional classes of incomplete demand system models to be integrable.
Roger H. von Haefen
doaj   +1 more source

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