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The log transformation is special
Abstract
The logarithmic (log) transformation is a simple yet controversial step in the analysis of positive continuous data measured on an interval scale. Situations where a log transformation is indicated will be reviewed. This paper contends that the log transformation should not be classed with other transformations as it has particular advantages. Problems with using the data themselves to decide whether or not to transform will be discussed. It is recommended that log transformed analyses should frequently be preferred to untransformed analyses and that careful consideration should be given to use of a log transformation at the protocol design stage.
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Metadata
- Authors
- Keene, O. N.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1995-04-30
- Volume
- 14
- Issue
- 8
- Pages
- 811-819
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2135757495
- Cited by
- 498
- References
- 0
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
