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A logistic regression analysis was performed for binary outcomes and odds ratios with 95% confidence intervals were estimated.
Multivariate analyses were performed to examine the effects of treatment type adjusting for potential confounding factors (covariates) utilizing the logistic regression analysis of binary outcomes.
Using the injury outcome as the binary variable, a logistic regression analysis was performed.
We also performed a conditional logistic regression analysis with a binary outcome of ADHD in relation to BLLs, adjusting for other potential confounding factors (Hosmer and Lemeshow 2000).
We used logistic regression analysis with a binary outcome of ADHD to identify predictors of ADHD.
Results of binary logistic regression analysis for the overall data, arteriolar and venular subgroups.
This analysis examined multiple mutually exclusive alternative choices, while the primary logistic regression analysis examined binary outcomes.
This analysis generalises a (binary) logistic regression analysis of outcome variables with more than two ordered categories.
Logistic regression was used for binary outcomes and proportional odds logistic regression for ordinal outcomes.
Data was analysed using logistic regression for binary outcomes and analysis of variance (ANOVA) for quantitative responses.
We used linear regression for continuous outcomes and logistic regression for binary outcomes.
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