Regression is a method to estimate parameters in mathematical models of biological systems from experimental data. To ensure the validity of a model for a given data set, pre-regression and post ...

The authors consider the estimation of regression parameters in the context of a class of generalized proportional hazards models, termed linear transformation models, in the presence of ...

The literature of regression analysis with missing values of the independent variables is reviewed. Six classes of procedures are distinguished: complete case analysis, available case methods, least ...

Full regression testing is costly and inefficient in an era of high-frequency iterations. Precise testing has emerged to ...

Every release requires a full day of regression testing, driving the developers crazy.” Full regression testing is costly and ...

Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s vital to analyzing data. What is linear regression?