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The Inverse of the Freeman – Tukey Double Arcsine Transformation
Abstract
A formula for the inverse of the Freeman–Tukey double arcsine transformation is derived. This formula is useful when expressing means of double arcsines as retransformed proportions. When the mean is taken from original proportions involving different n's, it is suggested that the harmonic mean of the n's be used in the inversion formula.
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Cited by
Barendregt, J. J., Doi, S. A., Lee, Y. Y., Norman, R. E., & Vos, T. (2013) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2013-203104 · Cited by 2,169
Metaprop: a Stata command to perform meta-analysis of binomial data
Nyaga, V. N., Arbyn, M., & Aerts, M. (2014) · Archives of Public Health · doi:10.1186/2049-3258-72-39 · Cited by 2,139
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: a systematic review and meta-analysis
Ceban, F., Ling, S., Lui, L. M. W., Lee, Y., Gill, H., Teopiz, K. M., Rodrigues, N. B., Subramaniapillai, M., Di Vincenzo, J. D., Cao, B., et al. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.12.020 · Cited by 1,554
Response rates of online surveys in published research: A meta-analysis
Wu, M.-J., Zhao, K., & Fils-Aime, F. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100206 · Cited by 1,135
Schwarzer, G., Chemaitelly, H., Abu‐Raddad, L. J., & Rücker, G. (2019) · Research Synthesis Methods · doi:10.1002/jrsm.1348 · Cited by 625
Metadata
- Authors
- Miller, J. J.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 1978-11
- Volume
- 32
- Issue
- 4
- Pages
- 138-138
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2030336159
- Cited by
- 535
- References
- 0
- FWCI
- 0.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
