IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Statistiska varningssystem för hälsorisker

Listed author(s):
  • Andersson, Eva


    (Statistical Research Unit, Department of Economics, School of Business, Economics and Law, Göteborg University)

  • Frisén, Marianne


    (Statistical Research Unit, Department of Economics, School of Business, Economics and Law, Göteborg University)

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 efter förändringen utan att det blir många falsklarm. I ett varningssystem kan inte hypotesprövning på vanligt sätt användas. Det behövs istället speciell metodik. Enbart subjektiv övervakning av data medför stor bedömarvariation varför en kombination med ett statistiskt system kan vara av värde. Metodiken exemplifieras för influensaövervakning.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg in its series Research Reports with number 2008:7.

in new window

Length: 11 pages
Date of creation: 17 Oct 2008
Handle: RePEc:hhs:gunsru:2008_007
Contact details of provider: Postal:
Statistical Research Unit, University of Gothenburg, Box 640, SE 40530 GÖTEBORG

Web page:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hhs:gunsru:2008_007. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Linus Schiöler)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.