Sentences with phrase «multivariate logistic regression analyses»

Bivariate and multivariate logistic regression analyses were performed to test the associations between stressful prenatal life events and infectious diseases.

Multivariate logistic regression analyses indicated that past adolescent conduct disorder, being younger and male, symptoms of Akathisia (movement disorder, most often develops as a side effect of antipsychotic medications), and particularly drug abuse increase the risk for CJS involvement.

Second, we conducted multivariate logistic regression analyses in which the association between attachment and mental health symptoms including depression, anxiety and posttraumatic stress symptoms was examined, adjusting for age, gender, orphan status and adverse childhood experiences.

Multivariate logistic regression analyses examined parity progression by birth order, while multinomial logistic regression was used to identify associations between sex composition and use of permanent, temporary and traditional contraceptive methods.

Multivariate logistic regression analyses * assessing impact of unawareness of the health consequences of tobacco use on attitudes and behaviour towards tobacco control programmes among school personnel from 29 African countries, 2006 — 2011 (n = 17 929)

Finally, multivariate logistic regression analyses and multivariate regression analyses were conducted to identify the factors associated with the scores and rates on the CBCL (i.e., scores for internalizing, externalizing, and total problems).

• In another Australian study, in multivariate logistic regression analyses «feeling close to the unborn baby» and a «high level of knowledge about the effects of passive smoking on baby» were associated with early quit attempts by fathers Moffatt & Stanton (2005).

Factors associated with nicotine dependence among regular smokers according to the multivariate logistic regression analysis (ORs with corresponding 95 % CI)

Multivariate logistic regression analysis was used to evaluate the relationship between parenting style and overweight in first grade, controlling for gender, race, maternal education, income / needs ratio, marital status, and child behavior problems.

Not exact matches

Multivariate analyses were performed with logistic regression for outcome variables with paternal depression and other covariates as predictors.

In multivariate analysis, stepwise logistic regression analysis demonstrated that FAB (odds ratio [OR] = 0.79, 95 % confidence interval [CI] = 0.66 — 0.94) and the use of CCB (OR = 2.72, 95 % CI = 1.09 — 6.77) were significantly associated with UI at 1 year.

Performed advanced statistical analysis (univariate and multivariate analysis of variance, cluster and path analysis, principle component and factor analysis, analysis of covariance, survival & longitudinal analysis, logistic and linear regression modeling), created customized reports and presentation quality data summary tables and figures.

Topics Include Exploratory Data Analysis, Multiple Regression, Logistic Regression, Correlation, Multivariate Analysis Of Variance (manova), Factorial Analysis Of Variance (anova), Factor Analysis And Principal Components, Discriminant Analysis, Structural Equation Modeling, And Emerging Data Analysis Techniques.

She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear models (including growth curve modeling), latent transition analysis, mixture modeling, item response theory, as well as more commonly used techniques drawing from classical test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).

Couple - level multivariate logistic regression models, weighted to account for the complex sampling design, were used in the analysis.

To adjust for potential confounding variables and to derive maximal likelihood estimates of combined relative odds with 95 % confidence intervals, multivariate, unconditional, logistic regression analyses were performed for each of the 6 dependent variables.

For multivariate analyses, logistic regression analyses were used to assess the independent associations between CIS scores ≥ 16 and the aforementioned child and parental characteristics.