Sentences with phrase «multinomial logistic»

A multinomial logistic function was used to specify this probability function.

Results from multinomial logistic regressions are illustrated in Figure 1.

Moreover, multinomial logistic regressions revealed a profile of children at risk of developing high anxiety symptoms (i.e., high group), characterized by sociofamily adversity, inattention, and low prosociality in the classroom.

We conducted multinomial logistic analyses to examine to what extent each dimension of parenting practices affects child social skills development.

In the second part of the analyses, multinomial logistic regression models were used to examine which variables2 would discriminate between trajectories of social anxiety (Duchesne et al. 2010).

In the multinomial logistic regressions the cognition, social competence, and temperament variables are statistical predictors of trajectory membership.

In the multinomial logistic analysis, all groups were compared to the low group (Table 3).

Results of Multinomial Logistic Regression Analyses (Early Influences and Baseline Characteristics)

Note: 1Maternal reports of partner's alcohol consumption; 2Univariable multinomial logistic regression models; 3Multinomial logistic regression models adjusted for maternal age at delivery, parity, Social economic position, maternal education, maternal smoking during first trimester in pregnancy, housing tenure, income, and maternal depressive symptoms at 32 weeks gestation; CL: childhood limited, AO: adolescent onset, EOP: early onset persistent, the Low conduct problems class was used as the reference group.

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.

Prior studies on psychiatric comorbidity have applied a range of methods, from traditional regression models for estimating associations between different disorders (20, 21, 24) to multinomial logistic models that compare combinations of pairs of comorbid disorders (25) to latent growth models that jointly estimate trajectories of behavior clusters (26, 27).

Associations between early predictors and early dissolution (before children were 8 years old) and late dissolutions (when children were between 8 and 19 years) were compared using multinomial logistic regression analyses.

We performed multinomial logistic regression analysis to test if gender and SES variables were related to profile membership.

Research question 1 was investigated by multinomial logistic regression analyses with bootstrapping.

To check for reverse causation, that depressive symptoms may affect subsequent sugar intake from sweet food / beverages, linear regression models of 5 - year change and multinomial logistic regression for change groups were fitted for each cycle, from phases 3 to 5, 5 to 7 and 7 to 9, with CMD at phases 3, 5, 7 respectively, and for change from phase 7 to 9 with depression at phase 7.

Not exact matches

All three systems — multinomial logit regression, dynamic signal extraction and the University's refined binary logit model — use the technique of logistic regression to analyse various indicators, such as a country's exposure to debt, foreign trade, domestic growth and government expenditure.

Missing values were predicted using an iterative series of appropriate regression models (logistic or multinomial) conditional on the observed values of the outcome variable, independent variables used in regression modelling and additional measured variables.