The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Discovering the False Discovery Rate
Open accessAbstract
Summary: I describe the background for the paper ‘Controlling the false discovery rate: a new and powerful approach to multiple comparisons’ by Benjamini and Hochberg that was published in the Journal of the Royal Statistical Society, Series B, in 1995. I review the progress since made on the false discovery rate, as well as the major conceptual developments that followed.
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
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Self-citationThe control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
Self-citationObesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791
More powerful procedures for multiple significance testing
Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715
Self-citationFalse Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters
Benjamini, Y., & Yekutieli, D. (2005) · Journal of the American Statistical Association · doi:10.1198/016214504000001907 · Cited by 671
Self-citation
Cited by
Nontemplated Nucleotide Additions Distinguish the Small RNA Composition in Cells from Exosomes
Koppers-Lalic, D., Hackenberg, M., Bijnsdorp, I. V., van Eijndhoven, M. A. J., Sadek, P., Sie, D., Zini, N., Middeldorp, J. M., Ylstra, B., de Menezes, R. X., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.027 · Cited by 560
A practical guide to methods controlling false discoveries in computational biology
Korthauer, K., Kimes, P. K., Duvallet, C., Reyes, A., Subramanian, A., Teng, M., Shukla, C., Alm, E. J., & Hicks, S. C. (2019) · Genome Biology · doi:10.1186/s13059-019-1716-1 · Cited by 436
Roddy, D. W., Farrell, C., Doolin, K., Roman, E., Tozzi, L., Frodl, T., O’Keane, V., & O’Hanlon, E. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.08.021 · Cited by 287
Rosario, D., Bidkhori, G., Lee, S., Bedarf, J., Hildebrand, F., Le Chatelier, E., Uhlen, M., Ehrlich, S. D., Proctor, G., Wüllner, U., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108807 · Cited by 167
Hertel, J., Harms, A. C., Heinken, A., Baldini, F., Thinnes, C. C., Glaab, E., Vasco, D. A., Pietzner, M., Stewart, I. D., Wareham, N. J., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.10.035 · Cited by 162
Metadata
- Authors
- Benjamini, Y.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-08-05
- Volume
- 72
- Issue
- 4
- Pages
- 405-416
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W1590047728
- Cited by
- 629
- References
- 7
- FWCI
- 7.27
- 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: Discovering the False Discovery Rate. https://app.cochat.ai/papers/10.1111/j.1467-9868.2010.00746.x
- The paper
- Benjamini, Y. (2010). Discovering the False Discovery Rate. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.1467-9868.2010.00746.x
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.
