Medicinsko društvo za racionalnu terapiju Republike Srbije
Abstract
Multivariable linear regression is a procedure of building mathematical model of straight line with several independent variables which are added one to another and to a constant to give value of dependent variable, i.e. of outcome. Dependent variable has to be continuous and numeric, while independent variables may be of both numeric and categorical type. Multivariable linear regression is very useful method for testing influence of multiple independent variables on a treatment outcome (dependent variable). With this method it is possible not only to estimate whether certain independent variable may influence the outcome significantly, but also to quantify this influence and compare strength of influence between the variables. Multivariable linear regression is especially useful method for analyzing data of observational clinical studies, particularly 'cross-sectional' ones
