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Statistics notes: Transformations, means, and confidence intervals: Fig 1

Open access
Bland, J Martin, Altman, Douglas G·1996·BMJ

Abstract

When we use transformed data in analyses,1 this affects the final estimates that we obtain. Figure 1 shows some serum triglyceride measurements, which have a skewed distribution. A logarithmic transformation is often useful for data which have positive skewness like this, and here the approximation to a normal distribution is greatly improved. For the untransformed data the mean is 0.51 mmol/l and the standard deviation 0.22 mmol/l. The mean of the log10 transformed data is -0.33 and the standard deviation is 0.17. If we take the mean on the transformed scale and back transform by taking the antilog, we get …

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Metadata

Authors
Bland, J. M., & Altman, D. G.
Venue
BMJ
Publisher
BMJ
Published
1996-04-27
Volume
312
Issue
7038
Pages
1079
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W146893853
Cited by
423
References
0
FWCI
1.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Statistics notes: Transformations, means, and confidence intervals: Fig 1. https://app.cochat.ai/papers/10.1136/bmj.312.7038.1079
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Bland, J. M., & Altman, D. G. (1996). Statistics notes: Transformations, means, and confidence intervals: Fig 1. BMJ. https://doi.org/10.1136/bmj.312.7038.1079

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