As with most of life, a one-size-fits-all rule rarely is appropriate. While I agree that acknowledgement is generally not ideal for a statistician, there are cases where, in my opinion, it is perfectly appropriate.
One example is on a methods paper where the authors are primarily statisticians. Acknowledging a colleague's review and critique is perfectly acceptable. An additional example might be a clinical or applied paper where there is another statistician as an author. An acknowledgement referencing assistance with some part of the study design and/or analysis would seem perfectly acceptable if it was felt the criteria for authorship wasn't met.
The key in both of these cases is being explicit in why the person is being acknowledged. With this approach, it will be clear what the acknowledgement is for, and perhaps more importantly, what it is not for.
A handful of journals are now requiring written approval of the person that is to be acknowledged. If this became more of the norm, perhaps the concerns regarding acknowledgements will be lessened since the acknowledgement text would be open to edits and approval by you. Another concern that is linked with authorship and acknowledgements but is not often discussed is ghostwriting. That is perhaps a topic for another conversation.
In terms of the original question regarding being listed as a co-author without your approval, yes, that has happened. I typically start by giving the person the benefit of the doubt that they were looking to be inclusive and be a good colleague. From my experience, it seems best to take the high road and discuss why you would like to be more involved before the submission on future papers. Most papers come back for revision, so you can "fix" the paper if needed and positively influence the corresponding author at the same time.
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Rickey Carter
Associate Professor of Biostatistics
Mayo Clinic
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Original Message:
Sent: 11-06-2014 09:19
From: Benjamin Goldstein
Subject: Unexpected co-authorship or acknowledgment
That is a frustrating situation, but unfortunately not at all uncommon.
I have learned to make it a rule not to be acknowledged: I'm either a co-author or nothing, and for consulting projects I am happy with nothing, because my payment is monetary not academic. As a statistician, there is little good that can come out of an acknowledgement. If there is nothing wrong with the paper, no one notices the acknowledgements. However, if there are analytic problems, you will get noticed as the consulting statistician and the responsibility will fall on you - particularly if there is no statistician as a co-author.
Some journals are moving to a style of listing what everyone's role was. If your role was just high level advice and it is listed as such, I would be more comfortable not seeing every detail. However without that designation, I think you need to presume that any questions about data integrity will fall on you. If you are "the statistician", you should have code available to quickly reproduce every result/figure/table in the paper in case there is an audit. In that sense I would insist on seeing final drafts of the paper.
Best of Luck,
Ben
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Benjamin Goldstein
Assistant Professor Biostatistics
Duke University
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