Search results with tag "Using logistic regression"
An Introduction to Logistic Regression Analysis and Reporting
datajobs.comels, (2) Illustration of Logistic Regression Analysis and Reporting, (3) Guidelines and Recommendations, (4) Eval-uations of Eight Articles Using Logistic Regression, and (5) Summary. Logistic Regression Models The central mathematical concept that underlies logistic regression is the logit—the natural logarithm of an odds ratio.
RESEARCH PROPOSAL - Makerere University
www.mak.ac.ugquestionnaire. EPI-DATA and SPSS computer packages were used for analysis of the data. Estimation of risk was done by computing Odd’s Ratio. Confounding and interaction between independent variables and the main independent variable (HIV) were assessed using logistic regression Results
Using Logistic Regression: A Case Study
www.craftonhills.eduAdvantages of Using Logistic Regression Logistic regression models are used to predict dichotomous outcomes (e.g.: success/non-success) Many of our dependent variables of interest are well suited for dichotomous analysis Logistic regression is standard in packages like SAS, STATA, R, and SPSS