Missing values in principal component analysis
✍ Scribed by Bjørn Grung; Rolf Manne
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 318 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Data from 383 Japanese patients with systemic lupus erythematosus (SLE), collected by the schedule method, were analyzed by the principal component analysis. The new method, "combination of variates," reduced the number of missing data. Quantitative indices u&o1 in evaluating the clinical status of
## Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new or