Please use this identifier to cite or link to this item:
Gather, Ursula
Imhoff, Michael
Fried, Roland
Year of Publication: 
Series/Report no.: 
Technical Report 2000,32
In critical care extremely high dimensional time series are generated by clinical information systems. This yields new perspectives of data recording and also causes a new challenge for statistical methodology. Recently graphical correlation models have been developed for analysing the partial associations between the components of multivariate time series. We apply this technique to the hemodynamic system of critically ill patients monitored in intensive care. We appraise the practical value of the procedure by reidentifying known associations between the variables. From separate analyses for different pathophysiological states we conclude that distinct clinical states can be characterised by distinct partial correlation structures.
Multivariate time series
Partial spectral coherence
Graphical interaction model
Substantive research hypotheses
Hemodynamic variables
Document Type: 
Working Paper
Social Media Mentions:

Files in This Item:
673.66 kB
340.26 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.