We also calculated the reciprocal regression of the absolute DLs on the number of intervals, averaged over the 10 SOAs from 100 to 1,000 ms.
At each SOA, we fitted the reciprocal function through the DLs at 1, 2, 4, and 6 intervals, and Table 3 gives the reciprocal regression equations and, as the coefficients of determination (r's) show, the reciprocal functions describe the data of Drake and Botte very well at almost all SOAs.
Since the distributions defied further standard methods of normalisation to allow comparisons (square root, natural log and reciprocal), regressions, ANOVAs and t-tests were ruled out.
Note that, although the reciprocal regressions were significant, the bottom panel again illustrates the interference of the odd even tendency we discussed: DLs at 3 intervals were larger than those at 2 and 4 intervals.
For Drake and Botte's data (top panel), the reciprocal regressions were significant at the SOAs of 200 ms (p <.029; r =.94) and 400 ms (p <.006; r =.98), as they were in the present study (bottom panel: p <.009; r =.92 and p <.008; r =.93, respectively).
Specifically, we chose a series of untransformed and transformed (logarithmic, square root, squared, and reciprocal) linear regression models because they correspond to "volume knob" patterns in which TR copy number changes directly correlate with gene expression levels.
All correlations between tissue contaminant load and physiologic parameters were conducted using reciprocal-Y regression.
The reciprocal curves, their regression equations, and the coefficients of determination are inserted in Fig. 2.
In the simultaneous reciprocal model, significant standardized regression coefficients from QoL to general health dominated at 3 and 6 months after surgery (0.26 and 0.28, respectively), while the reverse effect from general health towards QoL (0.27) was present at one year after surgery.
The primary efficacy endpoint was the difference in the slope of the regression line of reciprocal of serum creatinine (1/SCr) over time, obtained by the least-squares method.
The number of MET reviews associated with a decrease of one cardiac arrest was estimated by calculating the reciprocal of the line of regression of the association between the level of MET service activation and the incidence of cardiac arrests.
