Results 101 to 110 of about 1,068 (167)

Dominant contribution of Asgard archaea to eukaryogenesis. [PDF]

open access: yesNature
Tobiasson V, Luo J, Wolf YI, Koonin EV.
europepmc   +1 more source

Changes in mental health diagnosis and healthcare use in seven European countries before and during the COVID-19 pandemic (2017-21). [PDF]

open access: yesEur J Public Health
Rodríguez-Blazquez C   +23 more
europepmc   +1 more source

Visualizing Loglinear Models

Journal of Computational and Graphical Statistics, 1999
Abstract We consider visual methods based on mosaic plots for interpreting and modeling categorical data. Categorical data are most often modeled using loglinear models. For certain loglinear models, mosaic plots have unique shapes that do not depend on the actual data being modeled.
Martin Theus, Stephan R. W. Lauer
openaire   +3 more sources

Loglinear Models, Logit Loglinear Models (445 Patients)

2016
Multinomial regression is adequate for identifying the main predictors of outcome categories, like levels of injury or quality of life (QOL). An alternative approach is logit loglinear modeling. It does not use continuous predictors on a case by case basis, but rather the weighted means of subgroups formed with the help of predictors. This approach may
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Loglinear Models, Hierarchical Loglinear Models (445 Patients)

2016
The Pearson chi-square test is traditionally used for analyzing two dimensional contingency tables, otherwise called crosstabs or interaction matrices. They can answer questions like: is the risk of falling out of bed different between the departments of surgery and internal medicine (Chap. 35).
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Desktop Loglinear Modelling

Australian Journal of Education, 1989
This didactic paper is intended as a guide to the use of microcomputer statistical analysis packages for researchers who have selected loglinear analysis as appropriate for their problem. It is assumed that readers will be familiar with the statistical theory of loglinear analysis as treated in Kennedy (1988) and Busk and Marascuilo (1989).
Mark Wilson, Stephen Moore
openaire   +1 more source

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