Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

The standard linear regression model does not apply when the effect of one explanatory variable on the dependent variable depends on the value of another explanatory variable. In this case, the ...

Patient preferences for targeted agents in renal cell carcinoma (RCC): A benefit–risk conjoint study. Background: We developed a novel method to analyze the response of tumors to therapy, quantifying ...

This paper focuses on the analysis of efficiency, peakedness, and majorization properties of linear estimators under heavy-tailedness assumptions. We demonstrate that peakedness and majorization ...

This is a preview. Log in through your library . Abstract We study limit distributions for the tuning-free max–min block estimator originally proposed in (Fokianos, Leucht and Neumann (2017)) in the ...

One obstacle in treating pre-existing parental tumors by vaccination with cytokine gene-modified tumor cells is the impaired expression of immune-related molecules such as MHC class I. In this study, ...