[Collinearity in multivariable analysis: causes, detection and control measures].
The paper reviews principal effects of collinearity on the results of multivariate regression analysis. The discussion focuses on the definition of the problem and on practical means of its recognition, as well as on preventive measures aiming at control of collinearity. In addition to the literature-based review the paper includes the presentation of a case study involving assessment of the relationship between pain in arms and age, years of work, daily duration of work in men and women regularly using personal computers at work. Case-study data were used to show the effect of collinearity (interdependence of two independent variables: age and years of work) on the coefficients of regression in a saturated model, followed by demonstration of the changes resulting from restriction measures (either age or years of work in the model). In addition, in relation to the case-study, the paper shows the results of practical means of detection of collinearity, including analysis of linear correlation and tolerance diagnostics.
Zejda
Jan E
JE
Katedra Epidemiologii Slaski Uniwersytet Medyczny w Katowicach. jzejda@sum.edu.pl
D000328:Adult; D016022:Case-Control Studies; D015984:Causality; D015897:Comorbidity; D003201:Computers; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D019547:Neck Pain / Q000175:diagnosis / Q000453:epidemiology* / Q000517:prevention & control; D009784:Occupational Diseases / Q000453:epidemiology* / Q000517:prevention & control; D010147:Pain Measurement / Q000379:methods; D012044:Regression Analysis; D020069:Shoulder Pain / Q000175:diagnosis / Q000453:epidemiology* / Q000517:prevention & control; D014940:Work Schedule Tolerance