Hi everyone,
A quick question....
In a hypothetical data set, say we have N patients and p biomarkers. The biomarkers each take a continuous form of measurement. There is also another variable, say, "symptom score" which is recorded for each patient with values ranging from 0 to 50.
I want to generate of 'map' of these patients where patients clustering together have similar characteristics. I intend to use either factor analysis or PCA. Now I had originally thought of doing this analysis using the p biomarkers, generating my plot and superimposing the 'symptom score' on each point on the plot to see if clusters of individuals also have similar symptom scores....however I then started wondering if I could actually do a factor analysis/PCA using the p biomarkers *and* symptom score together in an analysis.
Any views are much appreciated.
Many thanks in advance.
Kind regards,
Kim.
Dr Kim Pearce PhD, CStat
Senior Statistician
Haematological Sciences
Institute of Cellular Medicine
William Leech Building
Medical School
Newcastle University
Framlington Place
Newcastle upon Tyne
NE2 4HH
Tel: (0044) (0)191 208 8142
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