Sentences with phrase «using logistic regression analyses»

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.

The effects of relationship dissatisfaction, life events, emotional distress, and demographic variables on the risk of relationship dissolution were examined using logistic regression analyses.

We will compare the proportion of patients meeting guidelines for gestational weight gain and for weight retention at 1 year postpartum between the two groups using logistic regression analyses.

After examining the unadjusted, bivariate associations with delayed OL, we used logistic regression analysis to estimate the adjusted odds ratio (OR) and 95 % CI in multiple variable models.

the sample size and to provide age - and education - adjusted normative data using a logistic regression analysis.

Using logistic regression analysis, odds ratios, 95 % confidence intervals and significance p values were estimated for association between each outcome and each childhood measure individually and in models including all childhood measures, each adjusted for cohort and gender.

We used logistic regression analyses to explore the associations between anxiety and depression symptom exposures in adolescence and medical benefit receipt in young adulthood.

The discriminative validity, specificity and sensitivity of the PANSI were analyzed using logistic regression analysis.

Not exact matches

Logistic regression analysis was used to calculate the OR of not meeting a specified nutrient reference values for Australia and New Zealand per unit in % EAS or % ETS.

Second, the associations between duration of breastfeeding and upper and lower respiratory and gastrointestinal tract infections in infants aged 6 and 12 months were analyzed by using multiple logistic regression analysis.

Logistic regression analysis was used to adjust for potential confounding variables.

The analysis was carried out using a logistic binary regression model, with PPH as the outcome variable and built using manual forward selection (with p < 0.05 as the cut - off).

It is an observational study involving secondary analysis of maternity records, using binary logistic regression modelling.

Kaplan - Meier and Cox proportional hazards survival analyses were used in unadjusted and adjusted analyses of the effect of pacifier use on breastfeeding duration.19 Logistic regression modeling was used to evaluate the effect of pacifier timing on breastfeeding duration.20 Significance levels were not adjusted for multiple comparisons.

We modeled the association between early breastfeeding experiences and postpartum depression as a complete case analysis using logistic regression in SAS 9.1.

We examined independent associations by using multivariable logistic regression analysis.

The above classification of MPs then formed the basis of the ordinal logistic regression analyses [5] used to determine common traits among the out camp.

I have used these numbers as part of a logistic regression analysis of the positions of Conservative MPs on Brexit in order to try to explain why they have chosen their stance on the referendum.

Burton and Dickey then developed logistic regression and random forest models using the ArmChair Analysis play - by - play data seasons to predict future play types.

To gain insight into what brain regions may be driving the relationship between social distance and overall neural similarity, we performed ordered logistic regression analyses analogous to those described above independently for each of the 80 ROIs, again using cluster - robust standard errors to account for dyadic dependencies in the data.

A 2 - step logistic regression analysis was used to control for the method of culture in which the independent significance of RFLP type was assessed with regard to blood culture positivity.

Andrews, P. L., Loftsgaarden, D. O. & Bradshaw, L. S. Evaluation of fire danger rating indexes using logistic regression and percentile analysis.

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.

A multivariable logistic regression analysis was conducted to evaluate factors independently associated with the prescription of other psychotropic drug classes among patients already using antipsychotics.

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)

We assessed the association between onlineoffline partner dating and UAI, using random - effects logistic regression analysis..

In February of 2011, CUNY's Office of Institutional Research and Assessment, headed by University Dean David Crook, released critical data (obtained by Director of Policy Analysis Colin Chellman using linear probability models and logistic regression) demonstrating that, all else being equal (i.e., taking into account all measurable demographic and performance characteristics), CUNY's transfer students were at a disadvantage in terms of graduation compared to native students.

To probe these findings further, we conducted a set of logistic regression analyses using teacher retention through Year 2 as our binary outcome.

Logistic regression analysis was used to evaluate risk factors for surgical DV.

Multiple logistic regression analysis was used to estimate the odds of pregnancy during the study by treatment arm (odds ratios [ORs] are presented with 95 % confidence intervals).

Several analyses focused on missing data.36 To explore missing data patterns, we coded loss to follow - up as a binary variable and tested baseline variables as predictors using a stepwise logistic regression.

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.

Baseline differences among conditions were tested using analyses of variance and logistic regression.

Logistic regression analyses find that mothers with a varying work schedule, those who work more than 40 hours per week, those with more education, and those in families with the father as main child care provider are more likely to use multiple care arrangements.

Multiple logistic regression analyses were used to determine the association between panic attacks during adolescence in 1983 and the risk of personality disorders during young adulthood in 1993, adjusting for differences in sociodemographic characteristics, adolescent personality disorders, and co-morbid depressive and substance use disorders.

Risk factors for DSH and SA were first analysed using univariate logistic regression analysis, with one variable at a time.

Analyses used an analysis of covariance (continuous measure) or logistic regression (categorical measure) with the posttreatment measure as a covariate.

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)

The study involved administering all 3 sets of scales to a general population sample who were then interviewed by clinical interviewers blinded to screening scales scores and classified as having or not having SMI based on 12 - month prevalences of DSM - IV disorders, as assessed by the Structured Clinical Interview (SCID) for DSM - IV16 and scores on the GAF.1 Logistic regression analyses were then carried out to estimate the strength of associations between the screening scales and SMI using linear and nonlinear prediction equations that assumed either additive or multiplicative associations among the different screening scales.

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.

Multiple mediation analyses utilising linear and logistic regression models as appropriate were used to further investigate the extent to which the association between sports club membership and each of the three SES indicators was mediated by the three potential mediators.

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.

Logistic regression analyses were used to evaluate the relationship between childhood adversities and new onset of suicidal ideation and attempts over 3 years of longitudinal follow - up.

Logistic regression analyses were conducted to investigate the mediation hypotheses, using an established 3 - step procedure.48 First, we investigated whether there was a significant bivariate association between a high level of maladaptive parenting (operationally defined as ≥ 3 maladaptive parenting behaviors) or abuse during childhood or early adolescence (by a mean age of 14 years) and risk for suicide attempts during late adolescence or early adulthood (reported at a mean age of 22 years) and whether the magnitude of this association was reduced when interpersonal difficulties during middle adolescence (reported at a mean age of 16 years) were controlled statistically.

We used ordinal logistic - regression analysis to test the independent effects of each variable, adjusting for demographics, child personality, and parenting style.

A logistic regression analysis was used to identify variables having a significant independent association with an improvement of 50 % or more in positive psychotic symptoms.

Multiple logistic regression analysis was used to test the association between the depressive state and a weight gain of 4 kg or more over the 4 - year study period after controlling for potentially confounding variables such as the age, smoking status, alcohol intake status, and physical activity.

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).

The statistical analysis is based on logistic regression models and is used to determine whether the duration of poverty is associated with the indicators of child well - being used above.

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