Modeling Governance KB with CATPCA to Overcome Multicollinearity in the Logistic Regression
نویسندگان
چکیده
منابع مشابه
A Solution to Separation and Multicollinearity in Multiple Logistic Regression.
In dementia screening tests, item selection for shortening an existing screening test can be achieved using multiple logistic regression. However, maximum likelihood estimates for such logistic regression models often experience serious bias or even non-existence because of separation and multicollinearity problems resulting from a large number of highly correlated items. Firth (1993, Biometrik...
متن کاملInstrumental Variables Regression with Measurement Errors and Multicollinearity in Instruments
In this paper we obtain a consistent estimator when there exist some measurement errors and multicollinearity in the instrumental variables in a two stage least square estimation of parameters. We investigate the asymptotic distribution of the proposed estimator and discuss its properties using some theoretical proofs and a simulation study. A real numerical application is also provided for mor...
متن کاملHierarchical Logistic Regression Modeling with SAS GLIMMIX
Data often have hierarchical or clustered structures, such as patients clustered within hospitals or students nested within schools. Hierarchical models are statistical models that are used to analyze hierarchical or multilevel data. SAS GLIMMIX procedure is a new and highly useful tool for hierarchical modeling with discrete responses. This paper is focused on hierarchical logistic regression ...
متن کاملComparison of ordinary logistic regression and robust logistic regression models in modeling of pre-diabetes risk factors
Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors. Methods: This is a cross-sectional study and conducted on 6460 people, over ...
متن کاملModeling the Risk factors of hypertension in 35-65 years old individuals using logistic regression
Introduction Hypertension is a common cause of cardiovascular disease in the world. Therefore identification of risk factors for hypertension is essential to carry out preventive masseurs. So this study was done with the aim of using logistic regression model to determine and assess the risk factors of hypertension, in Mashhad. Materials & Methods This Cross sectional study was carried out us...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2017
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/824/1/012027