| publication name | Accuracy analysis for logistic regression parameters estimation |
|---|---|
| Authors | Dubov I.R., Diab T.O |
| year | 2004 |
| keywords | logistic regression, neural network |
| journal | Int. Conf. for microelectronics |
| volume | Not Available |
| issue | Not Available |
| pages | 181 – 183 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. The outcome is measured with a dichotomous variable (in which there are only two possible outcomes). The goal of logistic regression is to find the best fitting (yet biologically reasonable) model to describe the relationship between the dichotomous characteristic of interest (dependent variable = response or outcome variable) and a set of independent (predictor or explanatory) variables. In this paper, the analysis of for logistic regression parameters estimation is presented