Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

Linear regression models are used for binary classification that can then be generalized to multiclass classification and normally perform very well. Researchers from the US Air Force Medical ...

The most common way to analyze a binary response (Yes/No or 0/1 outcomes) is the logistic regression model, which is a linear model with a logit transform of the response mean. The most common way to ...

Statistical procedures give statistical answers not analytical judgement. Linear calibration is usually considered easy, particularly for high-performance liquid chromatography (HPLC) methods. After ...