The variability of SOS was indeed completely explained by a multivariate model including BMD and independent structural parameters (R2 = 0.94).
We first performed univariate Cox proportional hazards regression using each candidate predictor of re-incarceration and then ran a full multivariate model including all predictors.
In the multivariate model including all the variables from the univariate analysis, only PS emerged as a significant factor for survival (Table 4).
HMW-adiponectin was inversely associated with MetS in multivariate model including fat mass index (FMI), inflammatory markers, leptin and sOB-R (OR in the highest quartile = 0.30, 95%CI 0.18∼0.50, P<.0001).
As with the analyses of diagnostic accuracy for single variables, a multivariate model including all 14 predictors found in Tables 2 and 3 failed to identify any large or statistically significant associations with culture-positive TB.
Similarly, we re-ran our multivariate model including those with unknown culture status, once assuming these individuals had TB, and a second time assuming that they did not have TB.
To evaluate whether a combination of characteristics would be highly predictive of TB, we constructed a multivariate model including only the 14 factors with the greatest face validity in order to optimize the balance between bias and variance.
a Global multivariate model including all parameters.
Model 1: best fit multivariate model including PCB 118 data.
A final multivariate model including all covariates was also employed.
b Final multivariate model including significant variables only.
