Application of uni-variate and multivariate logistic regression model

This text Book shows the application of uni-variate and multivariate logistic regression model with its measure of association, unadjusted and adjusted Odds Ratio and result interpretation.This is powerful technique and widely used in various public health research. Here logistic regression model was applied to identify the risk factors for knowledge of community in identifying the signs and symptoms, modes of transmission and methods of prevention of malaria in Ethiopia. The multivariate logistic models showed study participants' gender, level of education, place of residence and climate of the residence area were the most important determinants of knowledge about signs and symptoms, modes of transmission and methods of prevention of malaria.

Autorentext

Girum Taye Zeleke, MSc.(med.)in the field of Epidemiology and Bio-statistics from the University of Witwatersrand School of Public Health. Currently working for Kigali Institute of Science and Technology (KIST)as Lecturer of Statistics and Bio-statistics,at Rwanda, Kigali.