Can Synthetic Data Allow for Smaller Sample Sizes in Chronic Urticaria Research?

Can Synthetic Data Allow for Smaller Sample Sizes in Chronic Urticaria Research?

ABSTRACT Background Robust data are essential for clinical and epidemiological research, yet in chronic spontaneous urticaria (CSU), certain patient groups, such as the elderly or comorbid patients, are often underrepresented. In clinical trials, strict inclusion and exclusion criteria frequently li...

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Main Authors: Annika Gutsche, Pascale Salameh, Samad S. Jahandideh, Mehran Roodsaz, Serkan Kutan, Ali Salehzadeh‐Yazdi, Emek Kocatürk, Stamatios Gregoriou, Simon F. Thomsen, Kanokvalai Kulthanan, Papapit Tuchinda, Joachim Dissemond, Alicja Kasperska‐Zajac, Magdalena Zajac, Mateusz Zamłyński, Martijn vanDoorn, Claudio A. S. Parisi, Jonny G. Peter, Cascia Day, Cathryn McDougall, Michael Makris, Daria Fomina, Elena Kovalkova, Nikolai Streliaev, Gerelma Andrenova, Marina Lebedkina, Maryam Khoskhkui, Mehraneh M. Aliabadi, Andrea Bauer, Lea Kiefer, Melba Muñoz, Karsten Weller, Pavel Kolkhir, Martin Metz
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Clinical and Translational Allergy
Subjects:
chronic spontaneous urticaria (CSU)
real‐world data (RWD)
sensitivity analysis
subgroup analysis
synthetic data generation
tree‐based decision model
Online Access:https://doi.org/10.1002/clt2.70087
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