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Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions
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Cited by
Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
Boehme, C. C., Nabeta, P., Hillemann, D., Nicol, M. P., Shenai, S., Krapp, F., Allen, J., Tahirli, R., Blakemore, R., Rustomjee, R., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907847 · Cited by 2,309
Incidence trends of type 1 and type 2 diabetes among youths, 2002–2012
Mayer-Davis, E. J., Lawrence, J. M., Dabelea, D., Divers, J., Isom, S., Dolan, L., Imperatore, G., Linder, B., Marcovina, S., Pettitt, D. J., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1610187 · Cited by 1,476
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Mei, X., Lee, H.-C., Diao, K.-Y., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0931-3 · Cited by 1,084
Incidence of diabetes in youth in the United States
SEARCH for Diabetes in Youth Study Group*, T. W. G. F. T. (2007) · JAMA · doi:10.1001/jama.297.24.2716 · Cited by 991
Towards the human intestinal microbiota phylogenetic core
Tap, J., Mondot, S., Levenez, F., Pelletier, E., Caron, C., Furet, J., Ugarte, E., Muñoz‐Tamayo, R., Paslier, D. L. E., Nalin, R., et al. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01982.x · Cited by 927
Metadata
- Authors
- Agresti, A., & Coull, B. A.
- Venue
- The American Statistician
- Publisher
- JSTOR
- Published
- 1998-05
- Volume
- 52
- Issue
- 2
- Pages
- 119
- ISSN
- 0003-1305 (ISSN-L)
- OpenAlex
- W4233106339
- Cited by
- 972
- References
- 0
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions. https://app.cochat.ai/papers/10.2307/2685469
- The paper
- Agresti, A., & Coull, B. A. (1998). Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions. The American Statistician. https://doi.org/10.2307/2685469
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.