Diagnosing Multicollinearity of Logistic Regression Model

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

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 کامل

In Logistic Regression Model

Logistic regression with binary and multinomial outcomes is commonly used, and researchers have long searched for an interpretable measure of the strength of a particular logistic model. This article describes the large sample properties of some pseudo-R statistics for assessing the predictive strength of the logistic regression model. We present theoretical results regarding the convergence an...

متن کامل

Multiple Logistic Regression and Model Fit Multiple Logistic Regression Just as in OLS regression, logistic models

Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...

متن کامل

Genetic programming outperformed multivariable logistic regression in diagnosing pulmonary embolism.

OBJECTIVE Genetic programming is a search method that can be used to solve complex associations between large numbers of variables. It has been used, for example, for myoelectrical signal recognition, but its value for medical prediction as in diagnostic and prognostic settings, has not been documented. STUDY DESIGN AND SETTING We compared genetic programming and the commonly used logistic re...

متن کامل

Multicollinearity Robust QAP for Multiple-Regression

The quadratic assignment procedures for inference on multiple-regression coefficients(MRQAP) has become popular in social network analysis. These tests have been developed to assess the sizes of a set of multiple-regression coefficients. However, research practitioners often use these tests to assess the size of individual multiple-regression coefficients. Although this might be a harmless exte...

متن کامل

ذخیره 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: Asian Journal of Probability and Statistics

سال: 2019

ISSN: 2582-0230

DOI: 10.9734/ajpas/2019/v5i230132