Sentences with phrase «predictor logistic regression analyses»

These decomposition analyses were conducted as single - predictor logistic regression analyses to determine which aspect or aspects of the parent — facilitator relationship quality at the initial contact most strongly predicted engagement.

Not exact matches

Analysis included logistic regression adjusted for predictor variables and standardized perinatal mortality ratios.

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

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.

The results of logistic and multiple regression analyses to evaluate trial entry variables as predictors of outcome are shown in tables III and IV respectively.

Stepwise logistic and multiple regression analyses gave the same outcome variable predictors as the one step method: global outcome rating (disease conviction, P = 0.04; odds ratio 0.65, 95 % confidence interval 0.43 to 0.65); general health questionnaire score 5 or more (affective inhibition P = 0.007; 1.46, 1.1 to 1.9); delayed type hypersensitivity skin response (delayed hypersensitivity P = 0.005; 1.55, 1.35 to 1.82) and Karnofsky score (disease conviction, P = 0.003).

The relations between independent predictor variables (measures of immunological and psychological function at entry to the trial, age of onset, and duration of illness) and dependent dichotomous outcome variables (self rated global outcome; presence or absence of caseness on the general health questionnaire at follow up; reduced or normal delayed responses to hypersensitivity skin test) were examined in separate logistic regression analyses.

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-.

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.

The results of a logistic regression analysis (table 4) showed that the best predictors of interest in attending a parenting programme were the presence of a child with behaviour problems in the clinical range (p < 0.001) and the eldest child being aged 2 or 3 years (p < 0.001).

A logistic regression analysis revealed that heart rate is a significant predictor for therapy success whereas other risk factors had no impact on therapy success.

The associations between the level of maternal relationship satisfaction and infectious disease in the group of < 6 - month - old infants were first tested by performing separate bivariate logistic regression analyses for each of the eight infectious diseases as the dependent variable, using the level of relationship satisfaction as the predictor variable.

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.