Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Unkel, Steffen"'
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of representing heterogeneities resulting from factors which may be difficult or imp
Externí odkaz:
http://arxiv.org/abs/2406.00804
Autor:
Bardo, Maximilian, Unkel, Steffen
In statistical models for the analysis of time-to-event data, individual heterogeneity is usually accounted for by means of one or more random effects, also known as frailties. In the vast majority of the literature, the random effect is assumed to f
Externí odkaz:
http://arxiv.org/abs/2303.04915
Autor:
Unkel, Steffen, Amiri, Marjan, Benda, Norbert, Beyersmann, Jan, Knoerzer, Dietrich, Kupas, Katrin, Langer, Frank, Leverkus, Friedhelm, Loos, Anja, Ose, Claudia, Proctor, Tanja, Schmoor, Claudia, Schwenke, Carsten, Skipka, Guido, Unnebrink, Kristina, Voss, Florian, Friede, Tim
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:
http://arxiv.org/abs/1805.01834
Autor:
Unkel, Steffen, Röver, Christian, Stallard, Nigel, Benda, Norbert, Posch, Martin, Zohar, Sarah, Friede, Tim
Publikováno v:
Orphanet Journal of Rare Diseases, 11:16, 2016
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 ethical reasons. To investigate the current practices in rare diseases,
Externí odkaz:
http://arxiv.org/abs/1602.07207
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Unkel, Steffen
Publikováno v:
In Journal of Statistical Planning and Inference March 2017 182:1-11
Autor:
Ernst, Anne, Anders, Heike, Kapfhammer, Heidi, Orth, Michael, Hennel, Roman, Seidl, Karin, Winssinger, Nicolas, Belka, Claus, Unkel, Steffen, Lauber, Kirsten *
Publikováno v:
In Cancer Letters 1 September 2015 365(2):211-222
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2014 Jan 01. 63(1), 141-158.
Externí odkaz:
http://www.jstor.org/stable/24771836
Publikováno v:
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2012 Sep 01. 74(4), 673-696.
Externí odkaz:
http://dx.doi.org/10.1111/j.1467-9868.2011.01021.x