A Comparison of Ordinary Least Squares and Logistic Regression
نویسنده
چکیده
منابع مشابه
Comparison of the Performance of Geographically Weighted Regression and Ordinary Least Squares for modeling of Sea surface temperature in Oman Sea
In Marine discussions, the study of sea surface temperature (SST) and study of its spatial relationships with other ocean parameters are of particular importance, in such a way that the accurate recognition of the SST relationships with other parameters allows the study of many ocean and atmospheric processes. Therefore, in this study, spatial relations modeling of SST with Surface Wind Speed (...
متن کاملStatNews #76 Modeling Approaches to Binary Logistic Regression with Correlated Data
Binary logistic regression is a versatile statistical tool for analyzing binary responses in a wide range of disciplines (see Statnews #44 for an introduction to logistic regression). Similar to ordinary least squares regression, one key assumption in regular binary logistic regression is that observations are independent of each other. Violations of the assumption of independence of observatio...
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 کاملComparison of artificial neural network with logistic regression in prediction of tendency to surgical intervention in nurses
Introduction: Logistic regression is one of the modeling methods for bipartite dependent variables. On the other hand, artificial neural network is a flexible method with the least limitation. The importance of growing unnecessary beauty surgeries and the importance of prediction and classification made us consider the present study, with the aim of comparing logistic regression and artificial ...
متن کاملCorrecting Measurement Error Bias in Interaction Models with Small Samples
Several methods have been suggested to estimate non-linear models with interaction terms in the presence of measurement error. Structural equation models eliminate measurement error bias, but require large samples. Ordinary least squares regression on summated scales, regression on factor scores and partial least squares are appropriate for small samples but do not correct measurement error bia...
متن کامل