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Review Times in Statistical Journals: Tilting at Windmills?

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  • Raymond J. Carroll

Abstract

Summary. Using limited data, I argue that the review times in statistics are far too long for the field to keep pace with the rapidly changing environment in science. I note that statisticians do not appear to believe in statistics because data on the review process are not widely available to members of the profession. I suggest a few changes that could be made to speed up the review process, although it would appear that a change in our culture is required before the problem will be solved.

Suggested Citation

  • Raymond J. Carroll, 2001. "Review Times in Statistical Journals: Tilting at Windmills?," Biometrics, The International Biometric Society, vol. 57(1), pages 1-6, March.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:1:p:1-6
    DOI: 10.1111/j.0006-341X.2001.00001.x
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    Cited by:

    1. Björk, Bo-Christer & Solomon, David, 2013. "The publishing delay in scholarly peer-reviewed journals," Journal of Informetrics, Elsevier, vol. 7(4), pages 914-923.
    2. Matthew Johnson & Sandip Sinharay, 2011. "Remarks From the New Editors," Journal of Educational and Behavioral Statistics, , vol. 36(1), pages 3-5, February.
    3. Estevao Alves-Silva & Ana Carolina Figueira Porto & Carine Firmino & Henrique Venancio Silva & Ingrid Becker & Liegy Resende & Livia Borges & Luana Pfeffer & Marcela Silvano & Melina Santos Galdiano &, 2016. "Are the impact factor and other variables related to publishing time in ecology journals?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1445-1453, September.
    4. Lokman Tutuncu, 2023. "All-pervading insider bias alters review time in Turkish university journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3743-3791, June.
    5. Sebastian Galiani & Ramiro H. Gálvez, 2017. "The Life Cycle of Scholarly Articles across Fields of Research," NBER Working Papers 23447, National Bureau of Economic Research, Inc.

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