Individually significant coefficients were interpreted only if the equation in which they were estimated was significant as a whole in a multivariate test, an approach that minimizes the problem
of false positives due to multiple comparisons while avoiding the problem
of low power to detect
true associations of moderate
magnitude that is introduced by more conservative methods (eg, Bonferroni corrections).33 Model comparisons were made using the Akaike information criterion.34