• DocumentCode
    351116
  • Title

    Analysis of repeated measurements in clinical studies: departures from study design

  • Author

    Wagenpfeil, S. ; Hennig, M. ; Kates, R. ; Neiss, A.

  • Author_Institution
    Inst. fur Med. Stat. und Epidemiologie, Tech. Univ. Munchen, Germany
  • fYear
    1999
  • fDate
    36495
  • Firstpage
    313
  • Lastpage
    315
  • Abstract
    This paper shows how three commonly occurring types of deviations from clinical study protocols (missing values, deviations of planned measurement intervals, and outliers) may be taken into account within a statistical framework. The techniques are described for a linear explanatory model, but they could be of considerable use in a more general nonlinear context as well
  • Keywords
    biomedical measurement; design of experiments; statistical analysis; time series; clinical study protocol deviations; design departures; linear explanatory model; medical statistics; missing data; missing values; nonlinear models; outliers; planned measurement intervals; repeated measurements; statistical framework; time series; Analytical models; Context modeling; Diseases; Human factors; Intelligent systems; Protocols; Scattering; Statistics; Thickness measurement; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-5578-4
  • Type

    conf

  • DOI
    10.1109/KES.1999.820186
  • Filename
    820186