Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Arne C Bathke"'
Autor:
Teresa Stemeseder, Bettina Schweidler, Patrick Doppler, Eva Klinglmayr, Stephanie Moser, Lisa Lueftenegger, Martin Himly, Roland Lang, Joerg Zumbach, Gertie J Oostingh, Thomas Hawranek, Arne C Bathke, Gabriele Gadermaier
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0168686 (2017)
Exposure to indoor allergens is crucial for IgE sensitization and development of allergic symptoms. Residential settings influence the allergen amount in house dust and hence allergic sensitization. Within this study, we investigated allergen exposur
Externí odkaz:
https://doaj.org/article/4d9e5e5497224765b8be30e0f3a6ff0a
Autor:
Höller eYvonne, Raoul eKutil, Lukas eKlaffenböck, Aljoscha eThomschewski, Peter Michael Höller, Arne C Bathke, Julia eJacobs, Alexandra Claire Taylor, Raffaele eNardone, Eugen eTrinka
Publikováno v:
Frontiers in Human Neuroscience, Vol 9 (2015)
High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity. Current research strives for valid evidence that these HFOs could aid the delineation of the to-be resected area in patients with refractory epilepsy and imp
Externí odkaz:
https://doaj.org/article/2054a0fe19cc49bcabc3d8c49eab22bf
Autor:
Martin Geroldinger, Johan Verbeeck, Andrew C. Hooker, Konstantin E. Thiel, Geert Molenberghs, Joakim Nyberg, Johann Bauer, Martin Laimer, Verena Wally, Arne C. Bathke, Georg Zimmermann
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 18, Iss 1, Pp 1-12 (2023)
Abstract Background Recommendations for statistical methods in rare disease trials are scarce, especially for cross-over designs. As a result various state-of-the-art methodologies were compared as neutrally as possible using an illustrative data set
Externí odkaz:
https://doaj.org/article/4f9b12e7fc3f4ae699a506a509e41b49
Autor:
Monika Wagner, Georg Brunauer, Arne C. Bathke, S. Craig Cary, Roman Fuchs, Leopoldo G. Sancho, Roman Türk, Ulrike Ruprecht
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Lecideoid lichens as dominant vegetation-forming organisms in the climatically harsh areas of the southern part of continental Antarctica show clear preferences in relation to environmental conditions (i.e. macroclimate). 306 lichen samples
Externí odkaz:
https://doaj.org/article/55b836c3626a4aa8a4a9f794d6f0b14f
Publikováno v:
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-22 (2020)
Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent gro
Externí odkaz:
https://doaj.org/article/35c8494b4f254324a6b3fd0c216bae79
Autor:
Katarzyna Grebosz‐Haring, Leonhard Thun‐Hohenstein, Anna K. Schuchter‐Wiegand, Arne C. Bathke, Stephen Clift
Publikováno v:
Annals of the New York Academy of Sciences.
Publikováno v:
Computational Statistics. 38:101-132
In many scientific disciplines datasets contain many more variables than observational units (so-called thick data). A common hypothesis of interest in this setting is the global null hypothesis of no difference in multivariate distribution between d
Autor:
Jonas Beck, Arne C. Bathke
Publikováno v:
Statistical Papers.
Nonparametric confidence distributions estimate statistical functionals by a distribution function on the parameter space, instead of the classical point or interval estimators. The concept bears analogy to the Bayesian posterior, but is nevertheless
Autor:
Martin Geroldinger, Johan Verbeeck, Konstantin E. Thiel, Geert Molenberghs, Arne C. Bathke, Martin Laimer, Georg Zimmermann
Publikováno v:
Biometrical Journal.
Ordinal data in a repeated measures design of a crossover study for rare diseases usually do not allow for the use of standard parametric methods, and hence, nonparametric methods should be considered instead. However, only limited simulation studies
Autor:
Maximilian Kiefel, Arne C. Bathke
Publikováno v:
Open Statistics. 3:63-74
This article methodologically complements the R package nparMD, and it presents the follow-up to a previous article that had built the foundation for the procedure implemented initially within the package. We consider non-parametric rank-based infere