We used univariate and multivariable methods to identify and quantify clinical and laboratory correlates of anti-RNAP in SSc.
In addition, among the three multivariable methods considered, PLR and CART outperformed LR.
Univariate and multivariable methods exist for calculating point estimates and variances under the assumption of equal sampling probabilities.
The authors prospectively assessed three agents (aprotinin [1295 patients], aminocaproic acid [883], and tranexamic acid [822]) as compared with no agent (1374 patients) with regard to serious cardiovascular, renal, and cerebrovascular outcomes by propensity and multivariable methods.
These are significant improvements over our previous findings in which all three multivariable methods used (LR, PLR and CART) showed improvements in AUC and ACC in excess of 4% for this data, with PLR (λ = 1) showing the best overall increase in ACC of only about 5% [ 26].
Data analysis included descriptive methods for categorical and continuous variables as well as bivariate and multivariable methods.
It is based on the analysis of FTIR spectral data by means of multivariable methods, including feature extraction and classification algorithms.
Data were analysed using both bivariable and multivariable methods.
Study outcomes were compared between the cohorts using standard bivariate and multivariable methods.
However, our goal for this study was to assess the excess risk of the DM state for prevalence, extent, severity, and prognosis of CAD findings by CCTA; for this purpose, comparator groups require similarity and previous methods have been well described for application of multivariable methods applied to observational data to mitigate confounding (24).
