Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

Through logistic regression analysis, it was found that pain severity, walking ability, self-care ability, physical function, ...

Multivariate failure time data arise when each study subject may experience several types of event or when there are clusterings of observational units such that failure times within the same cluster ...

Odds of SBC were tested for various risk factors individually using univariate logistic regression. In addition, a multivariate regression model was developed to test the odds of developing SBC while ...

This course aims to provide an understanding of the statistical principles behind, and the practical application of, univariable and multivariable linear and logistic regression in medical, ...