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.
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.
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.
Note: 1Maternal reports of partner's alcohol consumption; 2Univariable
multinomial logistic regression models; 3
Multinomial 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.
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).