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Activity Number:
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163
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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| Abstract - #303408 |
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Title:
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Using ANOVA-Simultaneous Principal Component Analysis (ASCA) in Clinical Studies for Psoriasis
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Author(s):
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Suyan Tian*+ and Mayte Suárez-Fariñas
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Companies:
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Rockefeller University and
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Address:
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1230 York Avenue, New York, NY, 10065,
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Keywords:
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ANOVA-simultaneous principal component analysis (ASCA) ; Psoriasis ; Biplot
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Abstract:
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Several clinical studies for psoriasis were conducted in the Rockefeller University hospital to examine disease resolution corresponding to specific treatments. A new tool called ANOVA-simultaneous component analysis (ASCA), which is an immediate generalization of analysis of variance (ANOVA) for the multivariate data, was applied to the data set of those studies combined. When the components from ANOVA were analyzed simultaneously by principal component analysis (PCA), more information about specific treatments on biomarkers over time shows up than that from separate analysis using either ANOVA or PCA alone. The results from ASCA are visualized with the aid of biplots.
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