Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

Understand logistic regression, a key statistical method for relationships with binary outcomes. Explore its formula, assumptions and practical applications.

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

An intelligent composite model incorporating global / regional X-rays and clinical parameters to predict progressive adolescent idiopathic scoliosis curvatures and facilitate population screening ...

Firstly, a logistic regression model was constructed using a training dataset, and the model underwent internal validation using a test dataset. Due to the absence of external validation using data ...

3.3 Development of nomogram According to the findings of Lasso and logistic regression analyses, a prediction model consisting of seven predictors (age, sex, education, total fat intake, RBC folate, ...

China can respond to a declining population by shifting its development model to focus on technology upgrading and fostering talent to improve productivity, experts say.