One of the most promising advancements in healthcare is the application of digital twin
technology, offering valuable applications in monitoring, diagnosis, and development of …

Several approaches to identification of predictive biomarkers and subgroups of patients with
enhanced treatment effect have been proposed in the literature. The SIDES method …

It is well known that both the direction and magnitude of the treatment effect in clinical trials
are often affected by baseline patient characteristics (generally referred to as biomarkers) …

We consider the problem of identifying a subgroup of patients who may have an enhanced
treatment effect in a randomized clinical trial, and it is desirable that the subgroup be defined …

In this paper we study the problems of estimating heterogeneity in causal effects in
experimental or observational studies and conducting inference about the magnitude of the …

We propose a novel recursive partitioning method for identifying subgroups of subjects with
enhanced treatment effects based on a differential effect search algorithm. The idea is to …

The identification of patient subgroups with differential treatment effects is the first step
towards individualised treatments. A current draft guideline by the EMA discusses potentials …

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology,
Second Edition explores statistics used in day-to-day clinical pharmacology work. The book …

To facilitate comparative treatment selection when there is substantial heterogeneity of
treatment effectiveness, it is important to identify subgroups that exhibit differential treatment …

A treatment for a complicated disease might be helpful for some but not all patients, which
makes predicting the treatment effect for new patients important yet challenging. Here we …