When clinical studies are conducted, researchers may wish to know what factors are influencing the observed effect. Regression analysis is a statistical method that attempts to find relationships within a data set. Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations. A linear regression involves one independent variable and the outcome variable. However, in the past two decades modern regression methods have proven to be much more precise. Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations.

And so it is time, that a book described regression analyses for clinicians. - 28 major fields of regression analysis, - their condensed maths, - their applications in medical and health research as published so far, - step by step analyses for self-assessment, - conclusion and reference sections. Even the most respected medical journals continue to publish articles containing unwarranted conclusions, which thus appear validated. There are many types of regression analyses. This type of question can be answered using regression analysis. Faguet GB, Davis HC.

The current edition is the first to do so.

Regression analysis in medical research.