In this module, we will consider how to model count data. When the response variable is a count of some phenomenon, and when that count is thought to depend on a set of predictors, we can use Poisson ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Regression is probably most explicit example of a statistical model. The regression model provides both a systematic component (y = a + bx) and a random component (errors). Independent sample t-tests ...

Response Surface Regression: The RSREG Procedure . The RSREG procedure fits a quadratic response-surface model, which is useful in searching for factor values that optimize a response. The following ...

Two types of prediction models for pCR were built: (1) expert model: variables selected on the basis of oncologists' opinions and (2) data-driven model: variables selected by trained machine. These ...

While the prediction of ensuing storm damage has been the catalyst for the model development, it has proven to be but the “tip of the iceberg” in terms of applications. Ongoing model refinements, ...

Schönke, M., & Rensen, P. C. N. (2024). Mouse Models for the Study of Liver Fibrosis Regression In Vivo and Ex Vivo.Journal of Clinical and Translational Hepatology.