Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

In 2001, SPSS brought its eponymous statistical-analysis software package back to the Mac after a five-year absence, with SPSS 10 ( ; March 2001). Fortunately, we didn’t have to wait another five ...

Logistic regression is often used instead of Cox regression to analyse genome-wide association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease outcomes with cohort and case-cohort ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...

Logistic Regression Binary classification models are those where the output of the prediction is either zero or one, namely, identifies if something is within a category spectrum (say cat or dog, true ...