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The relationship between the onset of depressed kidney function + /− albuminuria and its traits and traditional cardiovascular risk factors was further investigated by multivariate logistic analysis (Table 3).
A logistic analysis confirms that two predictors, institutional infrastructure and employability are statistically significant.
Multivariate logistic analysis revealed that DR was independently predicted by high VFA and insulin resistance.
Multivariate logistic analysis revealed that a preexisting history of atopy was highly predictive of idiopathic pulmonary complications (P =.0001, odds ratio = 21, CI 3.6-125).
Multivariate logistic analysis however produced a statistically significant relationship between the dependent variable and the independent variable "ever told by a health worker about anticipated side effects".
Univariate logistic analysis yielded relationships of statistical significance between the dependent variable "reporting side effects from current contraceptive use" and 6 independent variables.
Multivariate logistic analysis for ICU mortality.
kThe Manufacturing variable was omitted from the logistic analysis.
Multivariate logistic analysis was used to control for other utilization determinants (eg, demographic factors).
Thus, a linear or logistic analysis is unlikely to be helpful.
Binary logistic analysis (forced entry method) was performed with SPSS software (IBM SPSS statistics, version 20).
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