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Statistical evaluation of multiple variables was performed.
Adjustment for multiple variables was performed by adding the covariates in a set of multiple logistic-regression models.
The credibility of associations between multiple variables was assessed by false discovery rates (FDR, [ 34, 35]).
Due to the limited sample size, no adjustment for simultaneous testing of multiple variables was performed.
Insomnia based solely on clinical criteria and after adjustment for multiple variables was not associated with significant odds for diabetes.
Fisher's exact test univariant analysis of multiple variables was used to identify pretreatment patient characteristics associated with achieving a CR or overall response to therapy.
Similar(52)
The optimal properties of information-theoretic terms in assessing variability and correlation between multiple variables are familiar to the machine learning and statistics communities but perhaps not well known in fields of epidemiology and medical statistics.
The credible intervals are increased as multiple variables are combined.
Multiple variables were tested and their impact on productivity metrics examined.
Making sense of big data sets with multiple variables is a classic challenge for the field of machine learning.
Optimizing for multiple variables is notoriously challenging; even when leaders unambiguously express their commitment to social and environmental goals by, for example, modifying their corporate mission statements, they face major tradeoffs.
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