scholarly journals Contributions to the statistical analysis of contingency tables: Notes on quasi-symmetry, quasi-independence, log-linear models, log-bilinear models, and correspondence analysis models

2002 ◽  
Vol 11 (4) ◽  
pp. 525-540 ◽  
Author(s):  
Leo A. Goodman
Keyword(s):  
Statistical Analysis ◽  
Correspondence Analysis ◽  
Linear Models ◽  
Contingency Tables ◽  
Bilinear Models ◽  
Log Linear ◽  
Analysis Models

Estimates for cell counts and common odds ratio in three-way contingency tables by homogeneous log-linear models with missing data

2016 ◽  
Vol 101 (1) ◽  
pp. 51-65 ◽  
Author(s):  
Haresh D. Rochani ◽  
Robert L. Vogel ◽  
Hani M. Samawi ◽  
Daniel F. Linder
Keyword(s):  
Missing Data ◽  
Odds Ratio ◽  
Linear Models ◽  
Contingency Tables ◽  
Cell Counts ◽  
Common Odds Ratio ◽  
Log Linear

scholarly journals The Application of Log-Linear Model to Selected Poison Patients

2020 ◽  
pp. 1-7
Author(s):  
Fatin N.S.A. ◽  
Norlida M.N. ◽  
Siti Z.M.J.
Keyword(s):  
Linear Model ◽  
Linear Models ◽  
Demographic Data ◽  
Contingency Tables ◽  
Categorical Variables ◽  
State Variables ◽  
Exposure Route ◽  
Higher Dimensional ◽  
Route Of Exposure ◽  
Log Linear

Log-linear model is a technique used to analyze the cross-classification categorical data or the contingency table. It is used to obtain the parsimony models that describe the interaction between the categorical variables in contingency tables. Log-linear models are commonly used in evaluating higher dimensional contingency tables that involves more than two categorical variables. This study focuses on analyzing data of poisoned patients from 2012 to 2014 using log-linear model. There are two model analyzed; model for demographic data of patients and model of poisoning information. For the first model, the variables involved are gender, age, race and state. Variables for the second model are circumstance of exposure, type of exposure, location of exposure, route of exposure and types of poison. Both log-linear models are developed to investigate the association between variables in the model. As a result of this study, the best model for demographic data and poisoning information are the model with three-ways interaction. For the best model of demographic data, there is an association between gender, age and race, race, gender and state as well as age, race and state. Meanwhile, the best model for poisoning information reveals that there is relationship between circumstance of exposure, route of exposure and type of poison, location of exposure, route of exposure and type of poison, circumstance of exposure, type of exposure and route of exposure, circumstance of exposure, location of exposure and route of exposure, circumstance of exposure, type of exposure and type of poison and also type of exposure, location of exposure and type of poison. Keywords: log-linear; demographic; gender; age; race; state; circumstance of exposure; type of exposure; location of exposure; route of exposure; types of poison

Tics and Heredity

1987 ◽  
Vol 150 (5) ◽  
pp. 628-634 ◽  
Author(s):  
D. M. Zausmer ◽  
M. E. Dewey
Keyword(s):  
Statistical Analysis ◽  
Linear Models ◽  
Statistical Analyses ◽  
Tourette's Syndrome ◽  
Reasonable Doubt ◽  
Tourette’S Syndrome ◽  
Genetic Transmission ◽  
Explanatory Variables ◽  
Simple Mode ◽  
Log Linear

The limited literature on the pedigrees of tiqueurs, including those with Gilles de la Tourette's syndrome, is reviewed. Most statistical analyses have been restricted to affected family members without specifying the unaffected ones. The present statistical analysis of a series of child tiqueurs, including 91 probands and 1293 first- and second-degree relatives, 46 of whom were tiqueurs, predicts the odds on being a tiqueur for individuals, and establishes how those odds are affected by certain explanatory variables using log-linear models. The data do not confirm a familial pattern beyond reasonable doubt, but if the suggested prevalence of tics in the population is 10% then the figure for parents is large enough to support a familial hypothesis. The pedigrees do not indicate a simple mode of genetic transmission. Further research is needed to confirm that there is a connection between childhood tics and Gilles de la Tourette's syndrome, to establish that the predisposition to tics is familial, and, if so, whether there is a complex genetic mechanism involved, or some other environmental aetiology so far undisclosed.

scholarly journals Market model analysis and forecasting behavior of watermelon production in Bangladesh

2014 ◽  
Vol 26 (1-2) ◽  
pp. 47-56
Author(s):  
Murshida Khanam ◽  
Umme Hafsa
Keyword(s):  
Time Series ◽  
Statistical Analysis ◽  
Linear Models ◽  
Time Series Data ◽  
Arima Model ◽  
Model Analysis ◽  
Market Model ◽  
Series Data ◽  
Log Linear

An attempt has been made to study various models regarding watermelon production in Bangladesh and to identify the best model that may be used for forecasting purposes. Here, supply, log linear, ARIMA, MARMA models have been used to do a statistical analysis and forecasting behavior of production of watermelon in Bangladesh by using time series data covering whole Bangladesh. It has been found that, between the supply and log linear models; log linear is the best model. Comparing ARIMA and MARMA models it has been concluded that ARIMA model is the best for forecasting purposes. DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20230 Bangladesh J. Sci. Res. 26(1-2): 47-56, December-2013

Log Linear Models and Tests of Independence for Contingency Tables

Biometrics ◽  
1972 ◽  
Vol 28 (1) ◽  
pp. 137 ◽  
Author(s):  
James E. Grizzle ◽  
O. Dale Williams
Keyword(s):  
Linear Models ◽  
Contingency Tables ◽  
Log Linear ◽  
Tests Of Independence
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