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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Zaruhi Simonyan
A Joint Application of Logistic Regression, ANOVA and Loglinear Modeling (on the Example of Prediction of Personal Health Assessment)
2018
In the sociology of health, the identification of determinants of health is one of the important tasks that researchers set themselves. To achieve this goal, analysts mainly use regression analysis, but it is known that in practice, constructing a regression model with a good prognostic capability is not such an easy task. Proceeding from this, the authors tested the idea of ​whether joint application of logistic regression, log-linear analysis, and variance analysis can significantly improve the predictive ability of the model. Each of these three methods has its limitations and advantages. Advantages of each method is a limitation for the other, and it was logical to assume that the joint usage can overcome limitations and maximize the statistical strength of the model.

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