Joachim Möcks
Hoffmann-La Roche
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Publication
Featured researches published by Joachim Möcks.
European Journal of Heart Failure | 2012
Andreas Luchner; Martin Möckel; Eberhard Spanuth; Joachim Möcks; Dirk Peetz; Hannsjörg Baum; Christoph Spes; Christian E. Wrede; J. Vollert; Reinhold Muller; Hugo A. Katus; Evangelos Giannitsis
N‐terminal pro brain natriuretic peptide (NT‐proBNP) is a potent marker of heart failure and other cardiac diseases. The value of NT‐proBNP testing in the medical emergency department (ED) was assessed in patients >65 years old.
International Journal of Neuroscience | 1987
Joachim Möcks; Theo Gasser; Pham Dinh Tuan; Walter Köhler
Variability of single visual evoked potentials was investigated by means of three statistical tests sensitive to amplitude variations, gradual changes, and latency jitter, respectively. In a sample of (n = 78) normal children, a considerable number of inhomogeneous responders was found, and most prominent were gradual potential changes and latency jitter. Removal of latency jitter demonstrated that the gradual changes are not of latency type and only partly of the amplitude type. As found from empirical densities, there is strong indication that there were subpopulations differing in their response style. On the whole, however, it was concluded that there was no clear, interindividually stable type of response variation in these data.
IEEE Transactions on Biomedical Engineering | 1986
Theo Gasser; Joachim Möcks; Walter Köhler; Johannes P. C. De Weerd
A number of filtering and smoothing procedures have been proposed for estimating evoked brain potentials. Their common goal is to reduce noise further than averaging. A statistical method is proposed for comparing these estimators for real data, thereby avoiding the use of simulated data, which usually are not representative of the shapes encountered for signal and noise and might also rely on some artificial assumptions. This approach is applied to visual evoked potential (both flash and pattern reversal). Filtering methods offer substantial gains in mean square error, but most of the gain is obtained trivially by attenuating the average. This points out the need for also using other loss functions. In terms of these, adaptive filtering brings at best gains equivalent to smoothing.
Psychophysiology | 1986
Theo Gasser; Lothar Sroka; Joachim Möcks
IEEE Transactions on Biomedical Engineering | 1986
Theo Gasser; Joachim Möcks; Walter Köhler
Archive | 2005
Wolfgang Petrich; Joachim Möcks
Pharmaceutical Statistics | 2002
Joachim Möcks; Walter Köhler; Martin Scott; Joerg Maurer; Michael Budde; Sam Givens
Archive | 2004
Joachim Möcks; Wolfgang Petrich
Archive | 2004
Joachim Möcks; Wolfgang Petrich
Archive | 2004
Joachim Möcks; Wolfgang Petrich