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Statistiska varningssystem för hälsorisker

Andersson, Eva; Frisén, Marianne - Statistical Research Unit, Department of Economics, … - 2008

Varningssystem behövs t.ex. vid intensivövervakning, smittskydd, miljörisker och kvalitetskontroll av vården. Statistiska varningssystem signalerar när det skett en väsentlig ändring och man vet vilka egenskaper systemet har. För varningssystem är det viktigt att larmet kommer snabbt...

Persistent link: https://www.econbiz.de/10005419230

Predictions by early indicators of the time and height of yearly influenza outbreaks in Sweden

Andersson, Eva; Kühlmann-Berenzon, Sharon; Linde, Annika; … - Statistical Research Unit, Department of Economics, … - 2007

Aims: Methods for prediction of the peak of the influenza from early observations are suggested. These predictions can be used for planning purposes. Methods: In this study, new robust methods are described and applied on weekly Swedish data on influenza-like illness (ILI) and weekly laboratory...

Persistent link: https://www.econbiz.de/10005419231

Statistical Surveillance of Epidemics: Peak Detection of Influenza in Sweden

Bock, David; Andersson, Eva; Frisén, Marianne - Statistical Research Unit, Department of Economics, … - 2007

A statistical surveillance system gives a signal as soon as data give enough evidence of an important event. We consider on-line surveillance systems for detecting changes in influenza incidence. One important feature of the influenza cycle is the start of the influenza season, and another one...

Persistent link: https://www.econbiz.de/10005419227

Hotelling´s T2 Method in Multivariate On-line Surveillance. On the Delay of an Alarm

Andersson, Eva - Statistical Research Unit, Department of Economics, … - 2008

A system for detecting changes in an on-going process is needed in many situations. On-line monitoring (surveillance … monitoring one or several indicators, we can, early, detect a change in the processes of interest. There are several suggested …

Persistent link: https://www.econbiz.de/10005419229

Sufficient reduction in multivariate surveillance

Frisén, Marianne; Andersson, Eva; Schiöler, Linus - Statistical Research Unit, Department of Economics, … - 2009

The relation between change points in multivariate surveillance is important but seldom considered. The sufficiency principle is here used to clarify the structure of some problems, to find efficient methods, and to determine appropriate evaluation metrics. We study processes where the changes...

Persistent link: https://www.econbiz.de/10004967603

Detection of Turning Points in Business Cycles

Andersson, Eva; Bock, David; Frisén, Marianne - In: Journal of Business Cycle Measurement and Analysis 2004 (2004) 1, pp. 93-108

Methods for continuously monitoring business cycles are compared. A turn in a leading index can be used to predict a …

Persistent link: https://www.econbiz.de/10008492383

Modeling influenza incidence for the purpose of on-line monitoring

Andersson, Eva; Bock, David; Frisén, Marianne - Statistical Research Unit, Department of Economics, … - 2007

in on-line monitoring. Earlier suggested statistical models are reviewed and the possibility of using them to describe … estimated functions varied considerably between years. For monitoring purposes we need models which focus on stable indicators … of the change at the outbreak and at the peak. <p> For outbreak detection we focus on ILI data. Instead of a parametric …

Persistent link: https://www.econbiz.de/10005644653

Semiparametric surveillance of outbreaks

Frisén, Marianne; Andersson, Eva - Statistical Research Unit, Department of Economics, … - 2008

surveillance of an “outbreak” situation is derived. The method is semiparametric in the sense that the regression model is …

Persistent link: https://www.econbiz.de/10005644654

Robust outbreak surveillance of epidemics in Sweden

Frisén, Marianne; Andersson, Eva; Schiöler, Linus - Statistical Research Unit, Department of Economics, … - 2007

Outbreak detection is of interest for several diseases and syndromes. The aim is to detect the progressing increase in … the incidence as soon as possible after the onset of the outbreak. A semiparametric method is applied to Swedish data on …

Persistent link: https://www.econbiz.de/10005644657