The DOI matches its Crossref record.
Statistics notes: Transformations, means, and confidence intervals: Fig 1
Open accessAbstract
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 …
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Ramsey, S. D., Willke, R. J., Glick, H., Reed, S. D., Augustovski, F., Jonsson, B., Briggs, A., & Sullivan, S. D. (2015) · Value in Health · doi:10.1016/j.jval.2015.02.001 · Cited by 811
How to address non-normality: a taxonomy of approaches, reviewed, and illustrated
Pek, J., Wong, O., & Wong, A. C. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02104 · Cited by 307
Fast‐Food Restaurant Advertising on Television and Its Influence on Childhood Obesity
Chou, S., Rashad, I., & Grossman, M. (2008) · The Journal of Law and Economics · doi:10.1086/590132 · Cited by 303
te Poel, F., Baumgartner, S. E., Hartmann, T., & Tanis, M. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.07.009 · Cited by 172
Wallace, P., Murray, E., McCambridge, J., Khadjesari, Z., White, I. R., Thompson, S. G., Kalaitzaki, E., Godfrey, C., & Linke, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014740 · Cited by 114
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Statistics notes: Transformations, means, and confidence intervals: Fig 1. https://app.cochat.ai/papers/10.1136/bmj.312.7038.1079
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.