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
Link To Document :
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