Browsing by Subject "Phase angle"

Now showing 1 - 3 of 3
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    Mangelernährung bei Tumorpatienten unter Chemotherapie : Anwendung und Weiterentwicklung eines computergestützten Programmes zur Erfassung und Vorhersage des Ernährungsstatus onkologischer Patienten
    (2012) Renger, Sebastian; Biesalski, Hans-Konrad
    Malnutrition is a serious problem in the health care of cancer in- and outpatients. Especially for outpatients there is little information on their nutritional status available, because nutritional screenings are not often used, although there is plenty of them accessible. The workgroup of Professor Biesalski developed a software, called oncoMAT, to calculate the current and the prospective nutritional status of tumour patients. Patient data of cancer patients from Tübingen and Freiburg were collected and analysed to test the program. For comparison the gold standard SGA (Suvjective Global Assessment) was used. Anthropometry, BIA, blood analysis and patient questioning about adverse events were used to evaluate the nutritional status as well. Results were checked for specificity and sensitivity. The Risk-Score statements were evaluated considering different model-conditions. To calculate the prognostic score, patient- and illnessrelated parameters were proved by a variance analysis and a multiple linear regression.
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    Monthly US business cycle indicators : a new multivariate approach based on a band-pass filter
    (2013) Gómez, Víctor; Marczak, Martyna
    This article proposes a new multivariate method to construct business cycle indicators. The method is based on a decomposition into trend-cycle and irregular. To derive the cycle, a multivariate band-pass filter is applied to the estimated trend-cycle. The whole procedure is fully model-based. Using a set of monthly and quarterly US time series, two monthly business cycle indicators are obtained for the US. They are represented by the smoothed cycles of real GDP and the industrial production index. Both indicators are able to reproduce previous recessions very well. Series contributing to the construction of both indicators are allowed to be leading, lagging or coincident relative to the business cycle. Their behavior is assessed by means of the phase angle and the mean phase angle after cycle estimation. The proposed multivariate method can serve as an attractive tool for policy making, in particular due to its good forecasting performance and quite simple setting. The model ensures reliable realtime forecasts even though it does not involve elaborate mechanisms that account for, e.g., changes in volatility.
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    Real wages and the business cycle in Germany
    (2010) Beißinger, Thomas; Marczak, Martyna
    This paper establishes stylized facts about the cyclicality of real consumer wages and real producer wages in Germany. As detrending methods we apply the deterministic trend model, the Beveridge-Nelson decomposition, the Hodrick-Prescott filter, the Baxter-King filter and the structural time series model. The detrended data are analyzed both in the time domain and in the frequency domain. The great advantage of an analysis in the frequency domain is that it allows to assess the relative importance of particular frequencies for the behavior of real wages. In the time domain we find that both real wages display a procyclical pattern and lag behind the business cycle. In the frequency domain the consumer real wage lags behind the business cycle and shows an anticyclical behavior for shorter time periods, whereas for longer time spans a procyclical behavior can be observed. However, for the producer real wage the results in the frequency domain remain inconclusive.