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The statistical significance of differences was tested by estimates of means (SVYMEAN and SVYLC procedure) for continuous variables and by the chi-squared test for categorical variables (SVYTAB procedure), corrected for clustered data and converted into F-statistics.
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This procedure corrects for any static station corrections in the travel times to each site.
This procedure corrects for multiple testing but accounts for correlation between markers, hence is less conservative than a Bonferroni correction, which is appropriate for independent tests such as unlinked markers.
The procedure corrects for single insertion and deletion errors to produce the best scoring full alignment based on our scoring criteria for the region of overlap.
This procedure corrects for the limited spatial resolution and the autocorrelation of adjacent voxels in the fMRI images and for multiple comparisons (Knorr et al., 1993; Worsley et al., 1992).
To assess the significance of an observed excess, we applied a block bootstrap resampling procedure which corrected for the nonindependence of nearby loci because of linkage disequilibrium (LD).
The two samples were weighted separately using the same weighting procedure, which corrected for differential responses by age, sex, household type and inner/outer London.
The two samples were weighted separately using the same weighting procedure, which corrected for differential response by age, sex, household type and inner/outer London, and is described further in the Appendix and elsewhere [ 17].
aThe Bonferroni procedure for correcting for type 1 error inflation indicated an adjusted alpha level of.004 should be used.
A procedure for correcting for the effect of surface irregularities is presented, and an overall orientation function based on the orientation and content of trans conformers is calculated.
The procedure to correct for the brightness variation between the detector quadrants (temperature dependent) was also established.
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