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Time series analysis in intensive care medicine

Author

Listed:
  • Imhoff, Michael
  • Bauer, Marcus
  • Gather, Ursula
  • Löhlein, Dietrich

Abstract

Objectives: Time series analysis techniques facilitate statistical analysis of variables in the course of time. Continuous monitoring of the critically ill in intensive care offers an especially wide range of applications. In an open clinical study time series analysis was applied to the monitoring of lab variables after liver surgery, and to support clinical decision making in the treatment of acute respiratory distress syndrome.

Suggested Citation

  • Imhoff, Michael & Bauer, Marcus & Gather, Ursula & Löhlein, Dietrich, 1998. "Time series analysis in intensive care medicine," Technical Reports 1998,01, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:199801
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    File URL: https://www.econstor.eu/bitstream/10419/77286/2/1998-01.pdf
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    References listed on IDEAS

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    1. Guyatt, Gordon & Drummond, Michael & Feeny, David & Tugwell, Peter & Stoddart, Greg & Haynes, R. Brian & Bennett, Kathryn & Labelle, Roberta, 1986. "Guidelines for the clinical and economic evaluation of health care technologies," Social Science & Medicine, Elsevier, vol. 22(4), pages 393-408, January.
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    Cited by:

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