5 天前 - … The primary exposure was a binary indicator of immunocompromised status, and
the … % confidence intervals (CI) representing the association between exposure and outcome. …

6 天前 - … links long sleep duration and adverse health outcomes only after establishing
temporal … as the outcome variable and baseline sleep duration as the primary predictor. Binary …

6 天前 - … Binary outcomes (prevalence and incidence of mental … Binary outcomes will be
analysed and presented as odds … with their corresponding 95% confidence intervals (CI). In …

6 天前 - … of the DHS data and the binary outcome variable ‘sexual … binary logistic regression
analysis, adjusted odds ratios (AORs) along with their respective 95% confidence intervals (…

6 天前 - … intervals. Incident CVD events (ie, any CVD event, CHD, CHF, MI, and stroke) were
all adjudicated outcomes and binary in … (HR) and their 95% confidence intervals (95% CI) for …

8 天前 - … Early initiation of breastfeeding was the outcome variable … We used percentages
with a 95% confidence interval (CI) … Later, we employed a four-modelled multilevel binary …

8 天前 - … Binary logistic regression was used to determine the association between dependent
and outcome … with a p-value less than 0.05 and a 95% confidence interval for determining …

8 天前 - … or intervention, and a binary outcome. However, when the outcome is frequent (>
10%), … regression models, in cross-sectional studies involving frequent binary outcomes. …

9 天前 - … Descriptive analysis and binary logistic regression … ratio (AOR) at a 95% confidence
interval (CI). The prevalence of … Self-reported hypertensive status was the outcome of this …

9 天前 - … learning approaches for outcome prediction. This … Wald test at a given confidence
interval. Additionally, we compared … classifier performance in binary classification problems, …