Sentence examples for binary logistic regression examining from inspiring English sources

A binary logistic regression examining the influence of age, gender, marital status, education, remoteness and social support on reporting of high distress was conducted using the HCS and ARMHS social support indices separately in the HCS follow-up dataset using participants who had completed all model variables and both indices of social support (N = 1716; see Table 2).

Table  3 show the results of both univariate and multivariate binary logistic regression examining the role of need level, diagnosis of psychotic disorder, sex, ethnicity, access to family physician and diagnosis of substance dependence in predicting the level of 30-year risk in our sample (low vs. higher risk).

Binary logistic regressions examined multivariate associations between anxiety and media usage, risk perceptions and outcome behaviours, adjusting for age and sex.

These groups were compared using binary logistic regression to examine odds of achieving Minimal Clinically Important Difference (MCID) on the Neck Disability Index (NDI) and Numerical Pain Rating Scale (NPRS).

The present investigation utilized binary logistic regression to examine correlates of substance use and ART adherence.

We used binary logistic regression to examine the associations between adult abuse and early cessation of breast feeding.

We used binary logistic regression to examine the association of country of origin with each dependent variable.

Multivariate analyses were conducted using binary logistic regression to examine the association between smoking and CRS after adjusting for socio-demographic factors.

We used a binary logistic regression to examine factors associated with whether or not service users and front-line professionals had been involved in user involvement activities.

We subsequently used binary logistic regression to examine the mediating effects of leisure-time physical activity independently for specific HUI3 attributes.

Finally, we used hierarchical binary logistic regression to examine the independent predictors of high scores in both UKCAT and A levels.