Principal components analysis
In statistics, principal components analysis was developed by Pearson in 1901 and may be used for analysis of a cohort study. The principal components analysis can only correct for confounding by independent variables that have been measured.
Software available for meta-analysis includes:
- R programming language:
- HSAUR2 interactive package with a chapter containing sample demonstrations, "Principal Component Analysis: The Olympic Heptathlon" in "A Handbook of Statistical Analyses Using R".
- Pearson, K (1901). "On lines and planes of closest fit to systems of points in space". Philosophical Magazine 2: 559–572.
- Torsten Hothorn; Everitt, Brian. CRAN - Package HSAUR, 2nd ed.