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A regression binary logistic analysis was performed.
Binary logistic analysis was used for identifying independent parameters associated with seroconversion after the influenza A/H1N1vaccination.
Binary logistic analysis was used to determine the impact of independent variables on the diagnosis of PTSD as outcome.
Multivariate binary logistic analysis was performed to evaluate the relationship between the presence of Charcot disease and genotypes and clinical/laboratory findings.
Univariate binary logistic analysis was performed to look for the relationship between HPV infection and the variables of interest in the sample population.
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Binary logistic analysis (forced entry method) was performed with SPSS software (IBM SPSS statistics, version 20).
Multivariate binary logistic analysis showed that TFF3 was the most effective predictive biomarker (P=0.000).
For categorical variables, χ test, Fisher exact test, or binary logistic regression analysis was used; for continuous variables, binary logistic regression analysis was used.
Binary logistic regression analysis was used to identify the predictors of nursing students' teaching patients about sleep hygiene.
A multivariable binary logistic regression analysis was conducted to evaluate the relations between hostility and telomere length, while controlling for sociodemographic, military, and clinical variables.
A binary logistic regression analysis was used to investigate the factors thought to influence immunocompetence.
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