We applied multilevel logistic regression techniques to obtain odds ratios (OR), variance partition coefficients (VPC) and 95% credible intervals (CI).
Study Design: We analyzed the vital statistics data for multiparous white and black women in Michigan who delivered a singleton live birth during the period 1993 through 1998, using stratified and logistic regression techniques.
This study analyzes the spatial variation in the explanatory factors of human-caused wildfires in continental Spain using logistic regression techniques within the framework of geographically weighted regression models (GWR).
In this paper we use logistic regression techniques to evaluate the relation between reading achievement at school entry and conduct problems 30 months later, in a representative, non-clinic sample of kindergarten and grade one children, in Ontario, Canada.
Logistic regression techniques were applied to assess relations with pre- and postoperative predictors.
Optimal cut-points for diagnosis and prognosis were identified and verified using bootstrapping and multi-variable logistic regression techniques.
Using logistic regression techniques, caregiver characteristics (eg, gender, health, relationship to the patient) rather than severity of the patient's condition emerge as predictors of antianxiety, antidepressant, and sedative/hypnotic use.
Relationships with socioeconomic, behavioural and neonatal factors were studied by means of (multinomial) logistic regression techniques.
All reported odds ratios are adjusted for age, number of sexual partners, ethnic group, and marital status using logistic regression techniques.
Using logistic regression techniques, the risk ratio for frailty was 1.21 (95% CI 1.19 to 1.24) and for low exercise 1.95 (1.73 to 2.28).
Logistic regression techniques are used for dichotomous outcome parameters.
