Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46181
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dc.contributor.authorVERBEECK, Johan-
dc.contributor.authorGeroldinger, Martin-
dc.contributor.authorNyberg, Joakim-
dc.contributor.authorThiel, Konstantin E.-
dc.contributor.authorHooker, Andrew C.-
dc.contributor.authorBathke, Arne C.-
dc.contributor.authorBauer, Johann W.-
dc.contributor.authorLaimer, Martin-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorZimmermann, Georg-
dc.date.accessioned2025-06-16T09:55:04Z-
dc.date.available2025-06-16T09:55:04Z-
dc.date.issued2025-
dc.date.submitted2025-06-13T13:19:03Z-
dc.identifier.citationOrphanet journal of rare diseases, 20 (1) (Art N° 277)-
dc.identifier.urihttp://hdl.handle.net/1942/46181-
dc.description.abstractRare diseases present critical challenges to healthcare systems, patients, and caregivers due to their low prevalence and unique characteristics. Designing clinical trials and developing statistical methodologies for evaluating interventions in rare diseases face several challenges. The "EBStatMax" project, part of the European Joint Programme on Rare Diseases' Demonstration Projects, aimed to address one of these challenges, namely: designing and analyzing longitudinal cross-over data in rare diseases, like Epidermolysis bullosa simplex (EBS). Although the main findings of the project have been published elsewhere, this manuscript reflects on additional hurdles encountered during the project, particularly regarding outcomes and methodological considerations. It explores issues surrounding outcome measurement, statistical methodology, and clinical considerations, emphasizing their broader relevance to methodological advancements in rare disease research beyond this specific case. This manuscript highlights the critical role of international collaboration in rare disease research to enhance evidence quality and aims to inspire further advancements in the field.-
dc.description.sponsorshipAcknowledgements Konstantin E. Thiel gratefully acknowledges the support of PMU-Research and Innovation Fund (PMU-RIF 2023-PRE-009-Thiel); Georg Zimmermann and Arne C. Bathke gratefully acknowledges the support of the WISS 2025 projects ’IDA-Lab Salzburg’ (20204-WISS/225/197-2019 and 20102-F1901166-KZP) and ’EXDIGIT’ (Excellence in Digital Sciences and Interdisciplinary Technologies) (20204-WISS/263/6-6022). Funding All authors gratefully acknowledge the funding of the ”EBStatMax Demonstration Project” by the European Joint Programme on Rare Diseases (EU Horizon 2020 research and innovation programme, grant agreement no. 825575).-
dc.language.isoen-
dc.publisherBMC-
dc.rightsThe Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.-
dc.subject.otherRare disease-
dc.subject.otherEpidermolysis bullosa-
dc.subject.otherEndpoints-
dc.subject.otherNon-parametric marginal model-
dc.subject.otherGeneralized pairwise comparisons-
dc.subject.otherGeneralized estimating equations-
dc.subject.otherModel averaging-
dc.subject.otherVisual analogue scale-
dc.titleReflection on clinical and methodological issues in rare disease clinical trials-
dc.typeJournal Contribution-
dc.identifier.issue1-
dc.identifier.volume20-
local.format.pages9-
local.bibliographicCitation.jcatA1-
dc.description.notesVerbeeck, J (corresponding author), Hasselt Univ, I BioStat, Martelarenlaan 4, B-3500 Hasselt, Belgium.-
dc.description.notesjohan.verbeeck@uhasselt.be; martin.geroldinger@pmu.ac.at;-
dc.description.notesjoakim.nyberg@farmaci.uu.se; konstantin.thiel@pmu.ac.at;-
dc.description.notesandrew.hooker@farmaci.uu.se; Arne.Bathke@plus.ac.at; j.bauer@salk.at;-
dc.description.notesgeert.molenberghs@uhasselt.be; m.laimer@salk.at;-
dc.description.notesgeorg.zimmermann@plus.ac.at-
local.publisher.placeCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr277-
local.type.programmeH2020-
local.relation.h2020825575-
dc.identifier.doi10.1186/s13023-025-03805-1-
dc.identifier.pmid40474287-
dc.identifier.isi001503668700003-
local.provider.typewosris-
local.description.affiliation[Verbeeck, Johan; Molenberghs, Geert] Hasselt Univ, I BioStat, Martelarenlaan 4, B-3500 Hasselt, Belgium.-
local.description.affiliation[Geroldinger, Martin; Thiel, Konstantin E.; Zimmermann, Georg] Paracelsus Med Univ, IDA Lab Salzburg, Team Biostat & Big Med Data, Strubergasse 21, A-5020 Salzburg, Austria.-
local.description.affiliation[Geroldinger, Martin] Paracelsus Med Univ, Christian Doppler Med Ctr, Dept Neurol, Ignaz Harrer Str 79, A-5020 Salzburg, Austria.-
local.description.affiliation[Nyberg, Joakim; Hooker, Andrew C.] Uppsala Univ, Dept Pharm, S-75124 Uppsala, Sweden.-
local.description.affiliation[Bathke, Arne C.] Univ Salzburg, Dept Artificial Intelligence & Human Interfaces, Intelligent Data Analyt IDA Lab Salzburg, Kapitelgasse 4-6, A-5020 Salzburg, Austria.-
local.description.affiliation[Bauer, Johann W.; Laimer, Martin] Paracelsus Med Univ, Dept Dermatol & Allergol, Ignaz Harrer Str 79, A-5020 Salzburg, Austria.-
local.description.affiliation[Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, Kapucijnenvoer 35, B-3000 Leuven, Belgium.-
local.description.affiliation[Zimmermann, Georg] Paracelsus Med Univ, Res Programme Biomed Data Sci, Strubergasse 21, A-5020 Salzburg, Austria.-
local.description.affiliation[Zimmermann, Georg] Paris Lodron Univ, Dept Artificial Intelligence & Human Interfaces, Jakob Haringer Str 2, A-5020 Salzburg, Austria.-
local.uhasselt.internationalyes-
item.contributorVERBEECK, Johan-
item.contributorGeroldinger, Martin-
item.contributorNyberg, Joakim-
item.contributorThiel, Konstantin E.-
item.contributorHooker, Andrew C.-
item.contributorBathke, Arne C.-
item.contributorBauer, Johann W.-
item.contributorLaimer, Martin-
item.contributorMOLENBERGHS, Geert-
item.contributorZimmermann, Georg-
item.fullcitationVERBEECK, Johan; Geroldinger, Martin; Nyberg, Joakim; Thiel, Konstantin E.; Hooker, Andrew C.; Bathke, Arne C.; Bauer, Johann W.; Laimer, Martin; MOLENBERGHS, Geert & Zimmermann, Georg (2025) Reflection on clinical and methodological issues in rare disease clinical trials. In: Orphanet journal of rare diseases, 20 (1) (Art N° 277).-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
crisitem.journal.eissn1750-1172-
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