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Clinical Chemistry 31: 1367-1370, 1985;
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Clinical Chemistry, Vol 31, 1367-1370, Copyright © 1985 by American Association for Clinical Chemistry

Application of a statistical approach to determining reference intervals in clinical chemistry

C Gallo, MC Turco, G Sanzi, S La Rocca, L Sacchetti and F Salvatore

In clinical chemistry a linear-regression model may be used to determine reference intervals. A crucial point in this approach is the choice of variables to introduce into the model. In the present paper, we have applied a nonautomatic selection procedure, known as "element analysis," to a sample of 126 individuals from a small, ethnically homogeneous community in southern Italy. We investigated the effects of four independent variables--sex, age, weight, and alcohol consumption-- on values for serum urea. Only sex and age proved to affect the urea values and were therefore introduced into the final model. This approach may be useful in determining reference intervals from observational studies when it is difficult to control a priori relevant factors. Moreover, variables may be selected not only on the basis of statistical criteria, but also according to biochemical and medical criteria.


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A. Virtanen, V. Kairisto, K. Irjala, A. Rajamaki, and E. Uusipaikka
Regression-based reference limits and their reliability: example on hemoglobin during the first year of life
Clin. Chem., February 1, 1998; 44(2): 327 - 335.
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Copyright © 1985 by the American Association for Clinical Chemistry.