Literature DB >> 11252583

Review times in statistical journals: tilting at windmills?

R J Carroll1.   

Abstract

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.

Entities:  

Mesh:

Year:  2001        PMID: 11252583     DOI: 10.1111/j.0006-341x.2001.00001.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  1 in total

1.  Strategies for developing biostatistics resources in an academic health center.

Authors:  Leah J Welty; Rickey E Carter; Dianne M Finkelstein; Frank E Harrell; Christopher J Lindsell; Maurizio Macaluso; Madhu Mazumdar; Paul J Nietert; Robert A Oster; Brad H Pollock; Paula K Roberson; James H Ware
Journal:  Acad Med       Date:  2013-04       Impact factor: 6.893

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.