Results 141 to 150 of about 7,912 (188)

Examining the Impact of Permitless Firearm Legislation and COVID-19 on Crime and Arrests in Three Urban Cities. [PDF]

J Urban Health
Corsaro N, Engel RS, Cherkauskas JM, Motz RT.   +3 more
europepmc   +1 more source

CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. [PDF]

PLoS One
Mainali KP, Slud E.
europepmc   +1 more source

Assessing complications from retroperitoneal lymph node dissection for testicular cancer in North America. [PDF]

Can Urol Assoc J
Kailavasan M, de Jesus Cendejas-Gomez J, Huynh MJ, Inman BA, Power N.   +4 more
europepmc   +1 more source

Spatiotemporal, Microhabitat, and Climatic Variance in Disjunct Populations of Co-occurring Pinyon-Juniper Woodland Dwelling Chipmunks and Brushmice. [PDF]

Zool Stud
Sullivan RM, Wilson WK.
europepmc   +1 more source

Global burden of tobacco-induced atrial fibrillation/flutter: Trends from 1990 to 2021 and projections to 2045 based on the Global Burden of Disease study. [PDF]

Tob Induc Dis
Chen L, Zhang Z, Wang L, Pan R, Yang J, Lin W, Zeng J, Yu C, Chen L.   +8 more
europepmc   +1 more source

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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

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   +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
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MODEL SELECTION CRITERIA FOR LOGLINEAR MODELS

Australian & New Zealand Journal of Statistics, 2010
SummaryConsiderable work has been devoted to developing model selection criteria for normal theory regression models. Less attention has been paid to discrete data. We develop two loglinear model selection criteria for Poisson counts. These criteria are based on an estimated bias adjustment of the Akaike information criterion.
Edward J. Bedrick, Winston K. Crandall
openaire   +1 more source