The whole data set and each set of chromosome fragments per chromosome were analyzed by simple and multivariate regressions using the PASW statistics 18 software, to determine the goodness of the fit of several molecular parameters versus MD [ 47].
The relationship between metabolic syndrome and vascular lesions and brain atrophy was determined by multivariate regression analyses using model 1 covariates.
We also collected their baseline variables from a questionnaire and the histological information, and several risk factors and Δage (The age calculated from the FISH –real age) were analyzed by multivariate regression analysis using SPSS 17.0.
Association between SNPs, progression-free survival (PFS) and overall survival (OS) were studied by multivariate Cox regression using relevant clinical factors associated with PFS and OS as covariates.
25 Contingency table analysis of haplotype and genotype frequencies in patients with pSS versus controls was performed by multivariate logistic regression using both additive and dominant allele coding.
The association between other biochemical derangements and hypocalcemia was assessed by multivariate logistic regression using iCa <1.1 mmol/L as a binary outcome.
The evaluation of the usefulness of IL2RA, SORT1, FLT3, and DEFA1 expression as independent predictors of B-ALL outcome was performed by multivariate logistic regression using EFS/RFS as dependent variable.
The risk of UADT cancers was analyzed by multivariate logistic regression using SAS version 9.3 to generate aORs, which were adjusted for age, sex, smoking status, pack-year history, and family history of UADT cancers.
We evaluated the association between residential traffic exposure and both log-transformed levels of C-reactive protein (lnCRP) and PP by multivariate linear regression using SPSS software (version 16.0 for Windows; SPSS Inc., Chicago, IL).
Analysis of the cross-classification of HLA-DR3, DR15 and RCAα AH1 and AH3 genotypic combinations in autoantibody-positive patients with pSS (n = 92) versus controls (n = 96) was performed by multivariate logistic regression using dominant coding and all two-factor interaction terms were evaluated.
