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Pathways to Promotion Committee Offers Collaborative Statisticians Advice

October 1, 2021 Leave a Comment

The Pathways to Promotion committee held a free webinar, titled “Advice for the Promotion of Collaborative Statisticians in Research and Teaching Institutions,” in May. More than 130 people attended.

What Does the ASA Section on Statistical Consulting Mean to You?

September 1, 2019 Leave a Comment

LeAnna Stork, chair of the ASA Section on Statistical Consulting, asked members on the ASA Community to unlock the “secret sauce” and answer a few questions about what the section means to them.

A Wake-Up Call to Statistical Consultants

March 1, 2019 1 Comment

Jonathan Shuster

Jonathan Shuster and Chris Delcher recommend new procedures for consultants, their institutions, and The ASA to follow to help maintain high integrity for statistical science.

Getting Paid: How to Determine Your Fee

August 1, 2017 1 Comment

Independent statistical consultants can bill by the hour or bill by the project, and there are trade-offs between the two approaches.

Consultant’s Corner: A New Column for Consultants

March 1, 2017 Leave a Comment

Consulting Corner is a new column launching in April. It is written for anyone engaged in or interested in statistical consulting and includes articles ranging from what starting a consulting business would entail to what could be taught in a consulting course.

A Recipe for Successful Collaborations

January 1, 2016 Leave a Comment

During JSM 2015, the ASA’s SPAIG committee highlighted cutting-edge collaborative projects through successful partnerships between academia, industry, and/or government organizations. In the statistical field and related professions, sharing of ideas from different organizations frequently leads to exchange visits, support for graduate students, consulting jobs, grant award for faculty, and continuing education opportunities for statisticians outside of academe.

Is That Clear?

November 1, 2009 Leave a Comment

Heavy use of statistical jargon can be a deterrent to the application of statistical inference or appropriate use of results. As statisticians, the make-up of our clientele ranges from students to collaborators in research to media personalities and lay people trying to make sense of the results we produce. How can we ensure our results move beyond high-impact, peer-reviewed journals to active use in industry and everyday life?

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