Results 111 to 120 of about 1,086 (165)

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

Loglinear Marginal Models

2009
Loglinear models provide the most flexible tools for analyzing relationships among categorical variables in complex tables. It will be shown in this chapter how to apply these models in the context of marginal modeling. First, in Section 2.1, the basics of ordinary loglinear modeling will be explained.
Wicher Bergsma, Marcel Croon, Jacques A. Hagenaars   +2 more
openaire   +1 more source

Visualizing parameters from loglinear models

Computational Statistics, 2004
An interactive graphical display for the parameters of loglinear models for categorical data is described. It is demonstrated how this display can be used for the analysis of the dependence structure of data, especially, for the identification of non-hierarchical models. The Berkeley admission and Knowledge of cancer data sets are used in the examples.
Pedro M. Valero-Mora, María F. Rodrigo, Forrest W. Young   +2 more
openaire   +2 more sources

Multigraph representations of hierarchical loglinear models

Journal of Statistical Planning and Inference, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khamis, Harry J., McKee, Terry A.
openaire   +3 more sources

Optimal prediction in loglinear models

Journal of Econometrics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Application of loglinear models to informetric phenomena

Information Processing & Management, 1992
Abstract Informetrics deals with the search for regularities in data associated with the production and use of recorded information. Most of the methods used in the past implicitly assume that the variables of importance are quantitative in form. Yet much relevant data is categorical.
Abraham Bookstein, Edward T. O'Neill, Martin Dillon, David Stephens   +3 more
openaire   +1 more source

Hierarchische loglineare Modelle

2017
Im Kapitel 2.2.2. haben wir uns mit der Darstellung von Datensatzen befasst, die qualitative Merkmale enthalten. Wir haben gelernt, die Haufigkeitsverteilung von mehreren qualitativen Merkmalen in einer Kontingenztabelle zusammenzustellen. Wir wollen uns nun mit Modellen beschaftigen, die die Abhangigkeitsstruktur zwischen den Merkmalen beschreiben ...
Torben Kuhlenkasper, Andreas Handl
openaire   +1 more source

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

Loglinear models

2022
Pat Dugard, John Todman, Harry Staines
openaire   +2 more sources