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Activity Number: 263
Type: Contributed
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract #321301
Title: Statistician Credit for Collaboration
Author(s): Charles Goldsmith* and Lehana Thabane and Yanling Jin and Fiona (Feng) He
Companies: GoldStats Consulting and McMaster University and McMaster University and McMaster University
Keywords: Citations ; Authorship ; Author order ; Credit
Abstract:

Statisticians collaborate with colleagues to provide advice on research. Most journals shorten the cited author list to save space. Statisticians are short changed when it comes to proper recognition in the citations of published papers. Some journals cite First 3 authors, et al, First 6 authors, et al, and a few First 30, et al. Six statisticians from Canadian Universities let us use their CVs for this study. Two coders (YJ, FH) each scored 60 entries from 5 different CVs to estimate reliability. Kappa statistics and intra-class correlation coefficients measured reliability. Kappa statistics varied from 0.89 to 1.00 and the ICCs from 0.99 to 1.00 suggesting that the coders were very reliable. Over the 6 authors, there was a total of 2274 articles. Author numbers varied from 1 to 53 with 3 of 6 having a maximum of less than or equal to 30; author medians varied from 4 to 7. Using the cut of less than or equal to 3 authors 45% (1040/2274) would cite the statistician; for 6 it was 80% (1810/2274) and for 30 was 99% (2255/2274). These data suggest that statisticians would be cited in journals almost always if the criterion of the first 30 authors was used more often.


Authors who are presenting talks have a * after their name.

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