H
Helga Wagner
Researcher at Johannes Kepler University of Linz
Publications - 78
Citations - 1696
Helga Wagner is an academic researcher from Johannes Kepler University of Linz. The author has contributed to research in topics: Medicine & Bayesian probability. The author has an hindex of 19, co-authored 69 publications receiving 1469 citations. Previous affiliations of Helga Wagner include University of Mainz & University of Würzburg.
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Stochastic model specification search for Gaussian and partial non-Gaussian state space models
TL;DR: A new model space MCMC method is developed based on extending the Bayesian variable selection approach which is usually applied to variable selection in regression models to state space models to focus on structural time series models including seasonal components, trend or intervention.
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Sustained activation of nuclear factor kappa B and activator protein 1 in chronic heart failure
Stefan Frantz,Daniela Fraccarollo,Helga Wagner,Thomas M. Behr,Philip Jung,Christiane E. Angermann,Georg Ertl,Johann Bauersachs +7 more
TL;DR: In experimental and human heart failure, both NF-kappaB and AP-1 are chronically activated in cardiac myocytes, suggesting an important involvement ofNF-kappB andAP-1 in the cardiac remodeling process.
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Monocytes/macrophages prevent healing defects and left ventricular thrombus formation after myocardial infarction
Stefan Frantz,Ulrich Hofmann,Daniela Fraccarollo,Andreas Schäfer,Stefanie Kranepuhl,Ina Hagedorn,Bernhard Nieswandt,Matthias Nahrendorf,Helga Wagner,Barbara Bayer,Christina Pachel,Michael P. Schön,Susanne Kneitz,Tobias Bobinger,Frank Weidemann,Georg Ertl,Johann Bauersachs +16 more
TL;DR: Monocytes/macrophages are of central importance for healing after MI and appear to be an unrecognized new pathophysiological mechanism for left ventricular thrombus development after MI.
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Auxiliary mixture sampling for parameter-driven models of time series of counts with applications to state space modelling
TL;DR: In this article, a Gibbsian transition kernel is proposed for auxiliary mixture sampling of time series of counts, where the observations are assumed to arise from a Poisson distribution with a mean changing over time according to a latent process.
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Creatine kinase-deficient hearts exhibit increased susceptibility to ischemia-reperfusion injury and impaired calcium homeostasis.
Matthias Spindler,Klaus Meyer,Hinrik Strömer,Andrea Leupold,Ernest A. Boehm,Helga Wagner,Stefan Neubauer +6 more
TL;DR: K-deficient hearts show an increased susceptibility of LV performance and Ca2+ homeostasis to ischemic injury, associated with a blunted postischemic recovery, which demonstrates a key function of an intact CK system for maintenance of Ca2-homeostasis and LV mechanics under metabolic stress conditions.