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The possibility of differences in the production frontier (and hence the distribution of efficiencies) of three distinct groups of HEIs is explored using a test proposed by Charnes, Cooper, and Rhodes [1981. Management Science, 27 6), 668 697] but no significant differences are found.
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It has been implemented to control water levels in the three-pool UPC laboratory canal and further numerically tested using a test case benchmark proposed by the American Society of Civil Engineers ASCEE).
Heights of correlation coefficients were then statistically compared using a test for dependent correlations proposed by Steiger (see [59], p. 213; [60], formulas (14) and (3)).
The numerical results of the model simulation are verified against the experimental results using a test setup to validate the proposed model prediction.
Discriminatory abilities of the models were compared using a test for difference of two AUCs proposed by DeLong et al. and available through the roccontrast option in SAS proc logistic.
But because survival curves of the diabetic and the nondiabetic group were crossing, proportional hazards could not be assumed, which was statistically tested using the test proposed by Grambsch and Therneau (15).
Because funnel plots have several limitations and represent only an informal approach to detect publication bias, we further carried out formal testing using the test proposed by the Begg's adjusted rank correlation test and by the Egger's regression test [ 11, 12].
The NPC field also benefits from a naturally occurring cat model of the disease that is used to test proposed drug therapies (Loftus et al., 1997; Somers et al., 2003; Maue et al., 2012).
To assess for possible publication bias, we used the test proposed by Egger and colleagues [ 16], which provides an assessment of funnel-plot asymmetry (expressed as a P value) by applying an inverse-variance weighted approach.
While predictions are indeed sometimes used to test proposed biological explanations, it should be noted that not anything that is logically entailed by a hypothesis provides a good test for it.
Structural equation modeling was used to test proposed linkages between variables using maximum likelihood estimation from the sample covariance matrix.
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