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Exact Hypothesis Tests for Log-linear Models with exactLoglinTest [PDF]
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
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Modelling child anaemia and co-existing infections using log-linear models [PDF]
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
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Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models
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
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Restricted graphical log-linear models
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
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Log-mean linear models for binary data [PDF]
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
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DISCRETE MULTIVARIATE ANALYSIS USING LOG - LINEAR MODELS
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
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Heatmaps for Patterns of Association in log-Linear Models
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
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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
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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
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A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models
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
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