Dominant contribution of Asgard archaea to eukaryogenesis. [PDF]
Tobiasson V, Luo J, Wolf YI, Koonin EV.
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Association between maternal c-reactive protein levels in pregnancy and growth trajectories of head circumference during the first year of postnatal life - A secondary data analysis of a case-control study on autism. [PDF]
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Changes in mental health diagnosis and healthcare use in seven European countries before and during the COVID-19 pandemic (2017-21). [PDF]
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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
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Loglinear Models, Logit Loglinear Models (445 Patients)
2016Multinomial 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
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Loglinear Models, Hierarchical Loglinear Models (445 Patients)
2016The 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
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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
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