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XXI. A primer of concepts, phrases, and procedures in the statistical analysis of multiple variables
Author(s) -
Feinstein Alvan R.
Publication year - 1973
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt1973143462
Subject(s) - biostatistics , multivariate statistics , linear discriminant analysis , specialty , multivariate analysis , medical statistics , statistics , statistical analysis , regression analysis , psychology , computer science , medicine , mathematics , family medicine , public health , pathology
The analysis of multiple variables probably received little or no attention when contemporary clinicians were taught about statistical methods. The topic is either absent from most textbooks of elementary statistics and biostatistics; or, if present, it is saved for advanced instruction in which a medical student seldom participates. Multivariate analysis has nevertheless become a frequent event in the literature that now confronts a clinical reader. Such multivariate procedures as discriminant functions, multiple regression, factor analysis, and cluster analysis regularly occur among the methods used in reports that appear not only in specialty medical journals, but also in journals intended for a general clinical audience.