Log transformation: application and interpretation in biomedical research

Log transformation: application and interpretation in biomedical research

The log transformation has been widely used in biomedical research to deal with the skewed data. However, in the medical publications, we have found many misuses and misinterpretations of analysis based on log‐transformed data. In this paper, we list some common scenarios of misuse and misinterpreta...

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Veröffentlicht in:Statistics in medicine 2013-01, Vol.32 (2), p.230-239
Hauptverfasser: Feng, Changyong, Wang, Hongyue, Lu, Naiji, Tu, Xin M.
Format: Artikel
Sprache:eng
Schlagworte:
Biomedical Research
Data analysis
Data Interpretation, Statistical
Design of experiments
geometric mean
Humans
hypothesis testing
Research Design
skewness
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Zusammenfassung:The log transformation has been widely used in biomedical research to deal with the skewed data. However, in the medical publications, we have found many misuses and misinterpretations of analysis based on log‐transformed data. In this paper, we list some common scenarios of misuse and misinterpretation of log transformation in biomedical applications. We also provide both theoretical and practical justifications to support our viewpoints. Copyright © 2012 John Wiley & Sons, Ltd.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.5486