Cited by 335Clinical Laboratory Practices and Quality ControlStatistical Methods in EpidemiologyProbabilistic Statistics in Medicine

Best practice in statistics: The use of log transformation

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West, Robert M·2022·Annals of Clinical Biochemistry: International Journal of Laboratory Medicine

Abstract

The log transformation is often used to reduce skewness of a measurement variable. If, after transformation, the distribution is symmetric, then the Welch t-test might be used to compare groups. If, also, the distribution becomes close to normal, then a reference interval might be determined.

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  • The sampling weights were adjusted based on the disease count in each type and moderated by natural logarithm transformation.

    “The sampling weights were adjusted based on the disease count in each type and moderated by natural logarithm transformation43,44.”

    From Enhancing diagnostic capability with multi-agents conversational large language models (2025) · cites this paper as [44]

    The Introduction’s ‘Natural logarithm or common logarithm’ section says natural logarithms can be used for log transformation. The paper illustrates transformation with urine albumin measurements; it does not describe adjusting sampling weights by disease counts or applying a logarithm to those weights. (LLM, conf=0.85)

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Authors
West, R. M.
Affiliations
University of Leeds (GB)
Corresponding author
West, Robert M
Venue
Annals of Clinical Biochemistry: International Journal of Laboratory Medicine
Published
2021-10-19
Volume
59
Issue
3
Pages
162-165
ISSN
  • 0004-5632 (ISSN-L)
  • 1758-1001
OpenAlex
W3206948482
Cited by
335
References
3
Citations by year
2026: 115 · 2025: 113 · 2024: 64 · 2023: 38 · 2022: 5
FWCI
16.78
Type
journal article
Language
en
Open access
Locations
  • Annals of Clinical Biochemistry International Journal of Laboratory Medicine (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Probabilistic Statistics in Medicine
Keywords
logarithmic transformation, measurement variables, reference values, normality
MeSH terms
Humans, Reference Values

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