We performed multivariate analysis using a binary logistic regression test for risk of BPAR and the Cox regression test for risk of graft loss, respectively (backward stepwise method).
According to the binary logistic regression test, higher APACHE II scores were associated with a higher occurrence risk of CA-AKI (p = 0.015, Exp (B) = 2.10; 95% CI, 1.15 3.82).
A multivariate analysis using a binary logistic regression test was performed for significantly different factors in the univariate analysis in order to determine significant factors associated with mortality in IPA patients.
A multivariate analysis was performed using the binary logistic regression test (qualitative variable) and multiple regressions (quantitative variable) using the LOGXACT programme (Cytel Software, Cambridge, MA, USA) to determine independent predictors of changes in tumour volume and predictors of response and relapse to treatment with TMZ.
In order to explore the possibility that other factors could be determinants to OCPs serum levels, multivariate analysis (binary logistic regression) test was used, adjusting for the well-known confounding variables, such as age, body mass index (BMI), menopausal status, lactation and smoking habits.
Data were analyzed using descriptive statistics, t-test, Mann–Whitney U-test, chi-square test, One-way ANOVA, Kruskal-Wallis test, and binary multiple logistic regression tests.
For univariate and multivariate statistical testing the following methods were used: Mann–Whitney test, Chi squared test, Spearman rank correlation, binary logistic regression, Logrank test and Cox regression.
The study uses binary logistic regression to test whether macro-level perceptions of regime legitimacy in the early to mid-1990s influenced whether electoral reforms were passed during the subsequent decade, controlling for levels of democracy and development.
