activity
20162020
most citedConformal prediction intervals for the individual treatment effect

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ME20206 cited

Conformal prediction intervals for the individual treatment effect

Danijel Kivaranovic, Robin Ristl, Martin Posch +1

We propose several prediction intervals procedures for the individual treatment effect with either finite-sample or asymptotic coverage guarantee in a non-parametric regression set…

q-bio.QM2020

Efficient adaptive designs for clinical trials of interventions for COVID-19

Nigel Stallard, Lisa Hampson, Norbert Benda +14

The COVID-19 pandemic has led to an unprecedented response in terms of clinical research activity. An important part of this research has been focused on randomized controlled clin…

stat.ME2018

A multiple comparison procedure for dose-finding trials with subpopulations

Marius Thomas, Björn Bornkamp, Martin Posch +1

Identifying subgroups of patients with an enhanced response to a new treatment has become an area of increased interest in the last few years. When there is knowledge about possibl…

stat.AP2018

Recent advances in methodology for clinical trials in small populations: the InSPiRe project

T. Friede, M. Posch, S. Zohar +19

Where there are a limited number of patients, such as in a rare disease, clinical trials in these small populations present several challenges, including statistical issues. This l…

q-bio.QM2016

Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions

Steffen Unkel, Christian Röver, Nigel Stallard +4

BACKGROUND: Randomized controlled trials (RCTs) are the gold standard design of clinical research to assess interventions. However, RCTs cannot always be applied for practical or e…