Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

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 ...

We consider a two-step projection based Lasso procedure for estimating a partially linear regression model where the number of coefficients in the linear component can exceed the sample size and these ...

This is a preview. Log in through your library . Abstract We propose using the local kernel regression method to estimate the conditional mean function of a panel count model with time-varying ...

Statistics Netherlands has calculated The Hospital Standardised Mortality Ratios (HSMRs) for Dutch hospitals for the period 2020-2022. This report describes the methods that were used. In chapter 2 ...