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You are here: Home / Member News / Section News / Section on Statistical Consulting Seeks Articles

Section on Statistical Consulting Seeks Articles

May 2, 2022 Leave a Comment

The Section on Statistical Consulting, in conjunction with the journal Stat, is soliciting articles for a special issue, titled “Statistical Consulting and Collaboration,” with coeditors Robyn L. Ball, H. Dean Johnson, Lee-Ann Hayek, Xiaoyue Niu, Joseph Rigdon, and Hao Helen Zhang.

The goal of the special issue is to promote an exchange of ideas relevant to the practice by providing a written forum for consulting and collaborative statisticians to influence best practices in areas key to statistics. This collection will encompass the following two broad categories of research articles:

  • Innovative application of statistical techniques will focus on impactful and innovative statistical approaches, especially as they relate to challenges encountered with data or scientific questions that require a nuanced approach.
  • Collaborative skill development presents essential techniques and skills for collaborations, including case studies, strategies for effective communication, strategies for building successful collaborative relationships, and approaches to mentoring and/or training fellow statisticians and data scientists.

As these categories do not encompass the entire field of statistical practice, potential authors should reach out to the editorial team with ideas for other topics relevant to the special issue. The editors welcome new submissions from practicing statisticians of original works on innovations in statistical collaboration and consulting.

For details, refer to the updated guidelines for the special issue.

Stat is known for its high-quality articles and rapid review process, with accepted papers published within 30 days of submission.

Filed Under: Section News, Statistical Consulting Tagged With: collaboration, collaborative skills, innovation, mentoring, rapid review, Section on Statistical Consulting, special issue, stat, Stat Journal, Statistical Consulting, training

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