Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Mathematical modelling is an essential tool in systems biology. To ensure the accuracy of mathematical models, model parameters must be estimated using experimental data, a process called regression.

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

As the coronavirus disease 2019 (COVID-19) pandemic has spread across the world, vast amounts of bioinformatics data have been created and analyzed, and logistic regression models have been key to ...

How data mining, regression analysis, machine learning (ML), and the democratization of data intelligence and visualization tools are changing the way we do business. Organizations use predictive ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 20, No. 2 (Jun., 1992), pp. 171-185 (15 pages) A method for nonparametric estimation of density based on a randomly ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 46, No. 4 (1997), pp. 463-476 (14 pages) Patients infected with the human immunodeficiency virus (HIV) generally ...