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Quantified reactivity was plotted as a function of antiserum dilution, and the level of reactivity for each antigen was normalized using the regression analyses.
The UCS and PLI data pairs were classified for the cases of PLI < 1 and PLI > 1 MPa, and two different strength rating charts were suggested by using the regression analyses.
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All variables used in the regression analyses were used in the imputation model.
This transformation was used to generate inverse-normalized traits having a mean of 0 and a standard deviation of 1 which was then used in the regression analyses.
Table 2 presents summary statistics for all variables used in the regression analyses for each comparison group.
In order to assess the maximum mortality risk for each patient, the score that predicted a higher risk was used for the regression analyses.
Unweighted data will be used in the regression analyses.
Stata V.11 was used for the regression analyses.
SPSS V.17 was used for the regression analyses.
They provide a detailed description of the model used and the regression analyses performed.
The same method was used for the regression analyses with the KMIS as the outcome variable.
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