Sentences with phrase «from logistic regression analysis»

For each outcome, the first row presents the percent of affected children in each family type; this is complemented in the second row with the OR from logistic regression analysis using children living with 2 biological parents as the index (control) group.

Results from logistic regression analysis indicate that marital status differentially affects mortality, but not in a social vacuum.

Adjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of energy partition — adjusted GI and glycemic load1

Adjusted ORs (95 % CIs) from logistic regression analyses of depression incidence according to quintiles of specific measures of energy partition — adjusted carbohydrate consumption1

Adjusted ORs (95 % CIs) from logistic regression analyses of depression prevalence according to quintiles of energy partition — adjusted GI and glycemic load1

To examine the average association between, on the one hand, the categorical variables mentioned above, and on the other, being SGA, we simply calculated ORs and 95 % CIs obtained from logistic regression analyses.

The results from logistic regression analyses were presented as OR, with the OR from the fixed - effect logistic regression (sibling comparison) having a cluster - specific interpretation.22 All the analyses were reported with 95 % CI.

From the logistic regression analyses, coefficients were used for the mediation analyses and odds ratios for descriptive purposes.

Not exact matches

Odds ratios (ORs) and 95 % CIs of the likelihood of elevated C - reactive protein concentrations (> 3.0 mg / L) from logistic regression using cross-sectional analyses in the Seasonal Variation of Blood Cholesterol Study, Worcester, MA (1994 — 1998)

aChild Behavior Checklist for 4 - 18 years; bChildren who are currently visiting their father who used to perpetrate intimate partner violence and already separated from their mothers; cInternalizing problems = Withdrawn + Somatic complaints + Anxious / depressed; dExternalizing problems = Delinquent behavior + Aggressive behavior; Total problems = the sum of the scores of all the nine subscales of the CBCL; eAdjusted odds ratios calculated by multivariable logistic regression analysis; fThe dependent variable: 0 = non - clinical, 1 = clinical; gp values calculated by multivariable logistic regression analysis; hStandardized regression coefficients calculated by multivariable regression analysis; ip values calculated by multivariable regression analysis; jVariance Inflation Factor; k0 = non-visiting, 1 = visiting; lThe score of the subscale (anxiety) of the Hospital Anxiety and Depression Scale; mThe score of the subscale (depression) of the Hospital Anxiety and Depression Scale; nThe number of years the child lived with the father in the past; oAdjusted R2 calculated by multivariable regression analysis.

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)

Logistic regression analyses associating family exposures of anxiety and depression symptoms in adolescence with receipt of medical benefits from age 20 to 29, imputed data

Logistic regression analyses showed the relative contribution of the study variables to changed financial status, from deployment to postdeployment.

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).

In investigating research question 2, indirect paths from the significant T1 predictors through T2 / T3 relationship satisfaction and child - rearing conflicts to late dissolutions were tested by logistic regression analyses using the SPSS Macro Process (Hayes [2013]-RRB-.

The co-occurrence of all combinations of the dichotomized child mental health problems (i.e., disruptive behavior, depression, somatization, ADHD, and anxiety) was examined using conditional Odds Ratios obtained from a series of separate logistic regression analyses.

As shown in Tables 1 and 2, the results from the bivariate logistic regression analyses showed a significant association with all eight infectious diseases in both age groups of infants.

Developmental patterns of six indices of peer relations (including group acceptance, group rejection, having a reciprocated best friend, social support from best friend, conflict with best friend, and the aggressiveness of the best friend) were examined as predictors of aggression and delinquency using logistic regression analyses.