Statistical Design Considerations in Animal Studies Published Recently in Cancer Research
Abstract
Good statistical design is one hallmark of meritorious research. Elements such as replication, randomization, and blinding are widely recognized as being fundamental to producing valid research results ([1][1]). Although widely used in clinical research, these practices seem to be less often
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Randomization and blinding of investigators who analyse the results of animal experiments are used in less than 20% of studies.
“Some pivotal aspects of study design, such as randomization and the blinding of investigators who analyse the results of animal experiments, are used in less than 20% of studies16–18”
From How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation (2018) · cites this paper as [16]
Cites
Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000412 · Cited by 7,300 · see citing works
Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.72351 · Cited by 6,277 · see citing works
Guidelines for the Design and Statistical Analysis of Experiments Using Laboratory Animals
Festing, M. F. W., & Altman, D. G. (2002) · ILAR Journal · doi:10.1093/ilar.43.4.244 · Cited by 1,110 · see citing works
Kilkenny, C., Parsons, N., Kadyszewski, E., Festing, M. F. W., Cuthill, I. C., Fry, D., Hutton, J., & Altman, D. G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007824 · Cited by 860 · see citing works
Betulin Is a Potent Anti-Tumor Agent that Is Enhanced by Cholesterol
Mullauer, F. B., Kessler, J. H., & Medema, J. P. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005361 · Cited by 688 · see citing works
Kirmaier, A., Wu, F., Newman, R. M., Hall, L. R., Morgan, J. S., O’Connor, S. L., Marx, P. A., Meythaler, M., Goldstein, S. C., Buckler-White, A. J., et al. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000462 · Cited by 264 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A call for transparent reporting to optimize the predictive value of preclinical research
Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., Crystal, R. G., Darnell, R. B., Ferrante, R. J., Fillit, H., et al. (2012) · Nature · doi:10.1038/nature11556 · Cited by 1,196 · see citing works
Ioannidis, J. P. A., Kim, B. Y. S., & Trounson, A. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0314-y · Cited by 175 · see citing works
Whole animal experiments should be more like human randomized controlled trials
Muhlhausler, B. S., Bloomfield, F. H., & Gillman, M. W. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001481 · Cited by 105 · see citing works
Banik, A., Brown, R. E., Bamburg, J., Lahiri, D. K., Khurana, D., Friedland, R. P., Chen, W., Ding, Y., Mudher, A., Padjen, A. L., et al. (2015) · Journal of Alzheimer’s Disease · doi:10.3233/jad-150136 · Cited by 102 · see citing works
- Authors
- Hess, K. R.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Hess, Kenneth R.
- ORCID
- Hess, Kenneth R.
- Venue
- Cancer Research
- Published
- 2011-01-13
- Volume
- 71
- Issue
- 2
- Pages
- 625-625
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2065594595
- Cited by
- 36
- References
- 6
- Citations by year
- 2024: 2 · 2023: 2 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 9 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 1 · 2012: 2
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- statistical design, animal studies, replication, randomization, blinding, research validity
- MeSH terms
- Animals, Neoplasms, Periodicals as Topic, Research, Statistics as Topic
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