The correlation coefficient is widely used to quantify the degree of association between two quantitative variables. By resorting to the geometric representation of the linear correlation coefficient, it is possible to calculate the upper and lower bounds of the correlation coefficient between two variables Xl, x 2 when the correlation coefficients with a third variable x 3 are available. Implications in observational studies, where x3 could be a proxy of a target variable x2, whose direct measurement is too expensive or impractical, are discussed.

Admissibility intervals for linear correlation coefficients

Canal, Luisa;Micciolo, Rocco
2007

Abstract

The correlation coefficient is widely used to quantify the degree of association between two quantitative variables. By resorting to the geometric representation of the linear correlation coefficient, it is possible to calculate the upper and lower bounds of the correlation coefficient between two variables Xl, x 2 when the correlation coefficients with a third variable x 3 are available. Implications in observational studies, where x3 could be a proxy of a target variable x2, whose direct measurement is too expensive or impractical, are discussed.
2
Canal, Luisa; Micciolo, Rocco
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/69702
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