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pro vyhledávání: '"Steffen Unkel"'
Autor:
Steffen Unkel
Publikováno v:
Journal of Statistical Planning and Inference. 182:1-11
Shared frailty models are frequently used for inducing dependence between survival times. In this paper, we consider bivariate current status data that are reasonable to model by shared frailty models. A time-dependent association measure that has a
Autor:
Steffen Unkel
Publikováno v:
Metrika. 80:351-362
In shared frailty models for bivariate survival data the frailty is identifiable through the cross-ratio function (CRF), which provides a convenient measure of association for correlated survival variables. The CRF may be used to compare patterns of
Autor:
Emmanuelle Comets, Martin Posch, Simon Day, A. Tournazi, Christian Röver, A. Dmitrenko, Burak Kürsad Günhan, Norbert Benda, Jason Madan, Corinne Alberti, Steffen Unkel, Nigel Stallard, Michael Pearce, Sarah Zohar, Frank Miller, Moreno Ursino, Frederike Lentz, Thomas Ondra, Tim Friede, Alexandra Graf, Gernot Wassmer, Siew Wan Hee
Publikováno v:
Orphanet Journal of Rare Diseases
Orphanet Journal of Rare Diseases, 2018, 13 (1), pp.186. ⟨10.1186/s13023-018-0919-y⟩
Orphanet Journal of Rare Diseases, BioMed Central, 2018, 13 (1), pp.186. ⟨10.1186/s13023-018-0919-y⟩
Orphanet Journal of Rare Diseases, Vol 13, Iss 1, Pp 1-9 (2018)
Orphanet Journal of Rare Diseases, 2018, 13 (1), pp.186. ⟨10.1186/s13023-018-0919-y⟩
Orphanet Journal of Rare Diseases, BioMed Central, 2018, 13 (1), pp.186. ⟨10.1186/s13023-018-0919-y⟩
Orphanet Journal of Rare Diseases, Vol 13, Iss 1, Pp 1-9 (2018)
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 led to an EU FP7 call for proposals in 2013. One of the three projects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b74312613901ebe4824e310be45041
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01935072/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01935072/document
Autor:
Marjan Amiri, Dietrich Knoerzer, Kristina Unnebrink, Claudia Schmoor, Carsten Schwenke, Claudia Ose, Tanja Proctor, Florian Voss, Friedhelm Leverkus, Jan Beyersmann, Katrin Kupas, Norbert Benda, Steffen Unkel, Frank Langer, Guido Skipka, Anja H. Loos, Tim Friede
Publikováno v:
Pharmaceutical Statistics
The analysis of adverse events (AEs) is a key component in the assessment of a drug's safety profile. Inappropriate analysis methods may result in misleading conclusions about a therapy's safety and consequently its benefit-risk ratio. The statistica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f50514606767fead4093249e66d266
http://resolver.sub.uni-goettingen.de/purl?gs-1/16016
http://resolver.sub.uni-goettingen.de/purl?gs-1/16016