Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

Table 2: Univariate and multivariable logistic regression analyses of factors associated with indeterminate QuantiFERON® result. *Defined as either new start of immunosuppression and/or increased home ...

A bivariable and a multivariable binary logistic regression models were fitted to identify the factors associated with chronic respiratory symptoms. To control the effects of potential confounders, ...

After adjusting for potential confounders, multivariable logistic regression analyses showed that older age, female gender, hemiplegia, aphasia, and SAH were associated with a poor prognosis at 3 ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

We investigated the association of VO with HARM in a multivariable binary logistic regression analysis, adjusting for the predefined variables based on prior knowledge (NIHSS score at presentation and ...

Forrest map in logarithmic scale showing predictors for CRR12 (A) and NRR6 (B) by multivariate binary logistic regression analysis. NRR6 rates in four serotypes based on the anti-dsDNA and ...

The primary outcome was a complication composite of severe bleeding, illness severity, cardiac arrest, arrhythmia, delayed first successful extubation, prolonged ICU LOS, very poor weight gain, and 30 ...

ii) the multivariate logistic regression model including the above covariates was fitted to the data (M1). The 95% HDI calculated for the coefficient of the covariate PAREI contained the null value, ...

Topics covered include a brief introduction to continuous and binary outcome data, univariable and multivariable models, interpretation of parameters for continuous and categorical predictors, ...