Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

(Dive down for further discussion of the assumptions underlying regression analysis ... [1] Why is it valuable to be able to unravel linear relationships? Some interesting relationships are linear, ...

Besides normality, these traditional regression ... of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...