2012
DOI: 10.1002/sim.5486
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Log transformation: application and interpretation in biomedical research

Abstract: 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.

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Cited by 201 publications
(163 citation statements)
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References 23 publications
(29 reference statements)
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“…2.2. Although logarithmic transformations are common, they are not always acceptable; see [14] for some examples of when logarithmic transformations can actually introduce skew. However, as noted in [3], for many practical problems logarithmic transformations can be very useful.…”
Section: Although We Developed τ (ŷ ) [And Hence (Yŷ )]mentioning
confidence: 99%
“…2.2. Although logarithmic transformations are common, they are not always acceptable; see [14] for some examples of when logarithmic transformations can actually introduce skew. However, as noted in [3], for many practical problems logarithmic transformations can be very useful.…”
Section: Although We Developed τ (ŷ ) [And Hence (Yŷ )]mentioning
confidence: 99%
“…In both analyses, participants and target items were included concurrently as random factors (Brysbaert, 2007;Quené & Van den Bergh, 2008). To remove the intrinsic positive skew and the non-normality of the distribution, a logarithmic transformation was applied to the RTs (Keene, 1995;Limpert, Stahel, & Abbt, 2001;Quené & Van den Bergh, 2008).…”
Section: Behavioural Datamentioning
confidence: 99%
“…Studies with weak or negative results often lack detailed descriptions of protocols used to collect samples323334, used heparin-treated tubes35 or measured MPO from serum36. In a notable negative study with MPO measured in EDTA-treated samples collected from heparin-naïve patients37, MPO concentration was log-transformed due to its skewed distribution; not only is such a transformation unnecessary, but it can obfuscate the true underlying relationships between covariates and outcomes38. These issues in methodology and analysis underscore the need for more investigation of MPO and its clinical utility.…”
Section: Discussionmentioning
confidence: 99%