Multivariate analysis with binary response is extensively utilized in dental research due to
variations in dichotomous outcomes. One of the analyses for binary response variable is …

The aim of this article is to encourage good practice in the statistical analysis of dental
research data. Our objective is to highlight the statistical problems of collinearity and …

Multivariable analysis is a widely used statistical methodology for investigating associations
amongst clinical variables. However, the problems of collinearity and multicollinearity, which …

In the previous article, I discussed linear regression using a single independent continuous
variable. In linear regression analysis, we can include more parameters in an effort to find …

The application of multilevel, multivariate modelling to orthodontic research data. - Abstract -
Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu About Tools …

Objectives This chapter explains• the motivation for the use of logistic regression for the
analysis of binary response data.• simple linear regression and why it is inappropriate for …

Continuous (clustered) proportion data often arise in various domains of medicine and
public health where the response variable of interest is a proportion (or percentage) …

This study explored and reviewed the logistic regression (LR) model, a multivariable method
for modeling the relationship between multiple independent variables and a categorical …

Logistic regression is widely used in the medical literature for analyzing binary outcome
data. Logistic regression has many similarities to linear regression, but it is more complex …

Abstract A dichotomous (2-category) outcome variable is often encountered in biomedical
research, and Multiple Logistic Regression is often deployed for the analysis of such data …