We examine heterogeneity in COVID-19 vaccine hesitancy across eight European countries.
We reveal striking differences across countries, ranging from 6.4% of adults in Spain to …

In this paper, we review recent advances in statistical methods for the evaluation of the
heterogeneity of treatment effects (HTE), including subgroup identification and estimation of …

The identification and estimation of heterogeneous treatment effects in biomedical clinical
trials are challenging, because trials are typically planned to assess the treatment effect in …

There has been much interest in the evaluation of heterogeneous treatment effects (HTE)
and multiple statistical methods have emerged under the heading of personalized/precision …

Motivation Personalized medicine often relies on accurate estimation of a treatment effect for
specific subjects. This estimation can be based on the subject's baseline covariates but …

The US government has committed to improving building energy efficiency. In many
buildings, residential homes are one of the largest end-users of energy consumption. Today …

Count regression models have been applied widely in traffic safety research to estimate
expected crash frequencies on road segments. Data mining algorithms, such as …

The recent years have seen a rapid development in the general Machine Learning area and
a similar strong trend has taken place within the drug development domain, known as …

Personalized medicine aims at identifying best treatments for a patient with given
characteristics. It has been shown in the literature that these methods can lead to great …

The identification of prognostic and predictive biomarkers is an important scientific
component in advancing the drug discovery and development pipeline and closely aligns …