Sentences with phrase «effects logistic regression analysis»

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

Not exact matches

• In another Australian study, in multivariate logistic regression analyses «feeling close to the unborn baby» and a «high level of knowledge about the effects of passive smoking on baby» were associated with early quit attempts by fathers Moffatt & Stanton (2005).

A logistic regression analysis was conducted to adjust for the effects of variables identified through the bivariate analysis to be associated with either type of feeding or the presence of infection or sepsis / meningitis.

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.

In addition, to assess whether there was an independent study effect on pregnancy rates by time period of recruitment into the study (before and after December 31, 2001), we included a time period variable in the multiple logistic regression analysis of the full study sample and found no effect.

Logistic regression analyses were conducted to estimate the effect of maternal IPV on asthma diagnosed by age 36 months while adjusting for potential confounders (child's sex, age, race / ethnicity, low birth weight, maternal education, economic hardship, and tobacco exposure).

Further logistic regression analyses indicated that the effect of family type on health outcomes was, in most cases, significant after controlling for the 3 social class indicators and child sex.

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.

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

Logistic regressions were used to predict the likelihood of recovery at 18 months, and mixed - effects regression analysis was applied to examine the association of severity and rates of improvement across time in the two treatment groups.

Multivariate logistic regression analyses indicated that past adolescent conduct disorder, being younger and male, symptoms of Akathisia (movement disorder, most often develops as a side effect of antipsychotic medications), and particularly drug abuse increase the risk for CJS involvement.