"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

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 ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 50, No. 1 (2001), pp. 43-61 (19 pages) The lymphocyte proliferative assay (LPA) of immune competence was conducted on 52 ...

Marginal models and conditional mixed-effects models are commonly used for clustered binary data. However, regression parameters and predictions in nonlinear mixed-effects models usually do not have a ...

Regression analysis refers to a method of mathematically sorting out which variables may have an impact. The importance of regression analysis for a small business is that it helps determine which ...

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 ...

Here is a guide for you to perform Regression Analysis on your Windows 11/10 PC. Regression Analysis is a statistical technique use to evaluate a set of data. It is used to determine the relationship ...