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Similarly, univariable logistic regression followed by multivariable analyses were conducted to detect independent predictors of MVO disappearance.
Complex samples analysis option was used in statistical package for Social Sciences (SPSS) version 17. Univariate analyses followed by multivariable analyses were carried out.
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All multivariable analyses were stratified by age in one-year categories and by study center, to prevent violations of the proportional-hazards assumption.
Uni- and multivariable analyses were done by logistic regression.
36 37 To confirm and interpret effect modification, multivariable analyses were stratified by organisational participation.
Multivariable analyses were performed by manual stepwise modeling using backward selection.
Bivariate and multivariable analyses were performed by Kaplan-Meier and Cox regression to identify clinical characteristics associated with mortality.
Multivariable analyses were performed by Cox proportional hazards models to assess the effect of smoking habits, tar and nicotine intake on incident MI with controlling for potential confounding by other cardiovascular risk factors.
All variables eligible for multivariable analyses were retested by adding them one-at-a-time to the final model and measuring for a >20% change in any regression coefficient.
The changes in results from univariable to multivariable analyses were mainly affected by adjustment for tibial bone area.
Multivariable analyses were conducted (weighted by RDSAT-generated HIV result weights) in SAS version 9.1 (Cary, NC).
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