activity
20162020
collaborators

5 papers

stat.ME2020

Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Approach for Optimizing Clinical Decisions with Timing

William Hua, Hongyuan Mei, Sarah Zohar +2

Accurate models of clinical actions and their impacts on disease progression are critical for estimating personalized optimal dynamic treatment regimes (DTRs) in medical/health res…

stat.AP2020

Clinical trials impacted by the COVID-19 pandemic: Adaptive designs to the rescue?

Cornelia Ursula Kunz, Silke Jörgens, Frank Bretz +6

Very recently the new pathogen severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified and the coronavirus disease 2019 (COVID-19) declared a pandemic by the Wo…

q-bio.QM2019

Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors

Moreno Ursino, Christian Röver, Sarah Zohar +1

Phase I dose-finding studies aim at identifying the maximal tolerated dose (MTD). It is not uncommon that several dose-finding studies are conducted, although often with some varia…

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…