A multivariate stepwise logistic regression was then performed to evaluate each of these as independent predictors.
Significant indicators of early fenestration closure in this study as determined by multivariate stepwise logistic regression were a high transpulmonary pressure gradient (p 0.015) and a higher oxygen saturation (p 0.001) 1 hour after arrival in the ICU, a low fibrinogen level (p < 0.0001), and the need for temporary atrial pacing (p 0.029).
Multivariate stepwise logistic regression analyses adjusting time to tracheostomy, SOFA score, and steroid usage revealed that perioperative complication was independently associated with alert PCT.
Based on a multivariate stepwise logistic model, the odds' ratios for C. pneumoniae IgG antibody seropositivity, body mass index, smoking, and consumption of pickle were 3.397 (P = 0.000), 0.858 (P = 0.014), 1.692 (P = 0.012), and 5.469 (P = 0.0000), respectively.
A multivariate stepwise logistic analysis showed that age, self-estimated degree of stress, reported number of additional poor health conditions, and less alcohol consumption were independently correlated with having headaches.
Multivariate stepwise logistic regression analysis revealed that a descriptor of both the hyperthermia treatment time and the frequency distribution of intratumoral temperatures was the strongest predictor of histopathologic outcome and that the best predictive model combined this time/temperature descriptor and one versus two treatment per week grouping.
Multivariate stepwise logistic regression analysis was performed.
Effects of covariates were assessed by multivariate stepwise logistic analysis.
We also performed a conditional multivariate stepwise logistic regression analysis stratified by sex and age.
Using a multivariate stepwise logistic regression analysis, two models were tested.
For these statistical predictive analyses, multivariate stepwise logistic regression models were used.
