title: [Common errors in analysis of the relationship between variables].
abstract: One of the key research problems is the analysis of relationships between variables. Mathematical modeling is commonly used technique in quantification of these associations. This paper describes errors most frequently occurring in simple and complex models constructions such as assumption violation, influence of outliers, data clustering, influence of confounding variables, limited scope of model application. Mentioned problems were illustrated with appropriate examples.
authors.affiliation: Katedra i Zakład Informatyki i Statystyki, Akademii Medycznej w Poznaniu. jmoczko@amp.edu.pl
authors.forename: Jerzy A
authors.initials: JA
authors.lastname: Moczko
mesh_terms: D000704:Analysis of Variance; D016001:Confidence Intervals; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D015233:Models, Statistical; D012044:Regression Analysis; D012106:Research / Q000706:statistics & numerical data*