Sentence examples for multiple logistic regression tests from inspiring English sources
Statistical analysis was performed by Student t, Mann-Whitney, χ2, and multiple logistic regression tests.
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.
Multivariate analysis using multiple logistic regression tests was performed for statistically significant factors derived from univariate analysis to determine factors related to the susceptibility of viridans streptococci to cefepime.
Multiple logistic regression tests, with the stepwise method, were carried out to determine the conditions influencing the progression of hypertension, dyslipidemia, diabetes, overweight, alleles and genotypes were considered as independent variables.
Factors shown to be significant (p < 0.10) by simple logistic regression analysis, such as normalized protein catabolic rate (nPCR), body mass index (BMI), diabetes mellitus (DM), sex, blood urea nitrogen (BUN), phosphate, potassium, age at the initiation of the study, baseline albumin levels, and ∆albumin were reanalyzed using stepwise forward multiple logistic regression tests (Table 2).
Multiple logistic regression tested the independent association of metabolites with lower tertile of insulin resistance; results are given as the odds ratio and 95% confidence interval (C.I .. Statistical analyses were performed using JMP (JMP, Version 8. SAS Institute Inc., Cary, NC, 1989 2009), and "R" (http://cran.r-project.org/).org/
Statistical significance was analyzed using the Pearson's chi-squared test or Fisher exact test for univariate analysis and multiple logistic regression test was used for multivariate analysis.
Odds ratios, 95% CIs and p-values from the multiple logistic regression test variables included in the final model are reported.
SNP haplotypes (frequency higher than 1% in the studied population) were analyzed by a haplotype-based multiple logistic regression test corrected for sex and center.
The elevated Ki-67 immunohistochemical staining is found in both sinonasal IPs with multiple recurrences and malignant transformation in our univariant and multivariant analysis by Pearson's chi-squared test and multiple logistic regression test as showed in Tables 1 and 2 and Figure 2(a).
In addition, we performed multiple logistic regression to test the independent association between study predictor variables and TBI-M while controlling for the other variables in the model (i.e., age, gender, race/ethnicity, admission year, length of stay, insurance status, and severity).
