Premium
Review Times in Statistical Journals: Tilting at Windmills?
Author(s) -
Carroll Raymond J.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00001.x
Subject(s) - pace , process (computing) , field (mathematics) , data science , computer science , statistics , econometrics , operations research , management science , mathematics , geography , economics , geodesy , pure mathematics , operating system
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.