2020 Plenary 1: Statistical Consulting


October 7, 2020

1. “Building Capacity in Statistical Consulting and Collaboration Techniques Through The Creation of Stat Lab” by Oluwayemisi Oyeronke ALABA (PhD), Department of Statistics, University of Ibadan, Nigeria

Talk based on two papers: Promoting and Sustaining a Virile Statistical Laboratory in Nigeria’s Premier University: Lesson from UI-LISA Experience and The Complementary role of UI-LISA in Statistical Training and Capacity Building at the University of Ibadan, Nigeria by UI-LISA team.


UI-LISA emerged to bridge the gap between theory and practice. Graduates of statistics with the touch of UI-LISA do not necessarily have to wait for government jobs to earn a living. The seven mission-driven programmes of UI-LISA are equipping statistical soldiers to solve problems for real world-impact.

2. “Statistical Consulting and Collaboration Techniques” by Dr. Hope Mbachu

Background of Imo State University Laboratory for Interdisciplinary Statistical Analysis (IMSU-LISA) “Stat Lab” was given. A pictorial description on consulting versus collaboration was used as set induction. Consulting comes in many colours and four-circle consulting services model were discussed and how IMSU-LISA planned, to apply the short term and medium term consulting in the Stat Lab activities. The important skills required were outlined. The 3 Cs or components of a successful team was discussed under collaboration technique. Some benefits and needs to improve statistical consulting and collaboration were also explained.


3. “Statistical Consulting and Collaboration Techniques: NSUK-LISA Stat Lab Experience” by Dr. M.O. Adenomon

The role of the statistical consultant cannot be overemphasized in evidence-based research and policymaking in the real world. A statistical consultant liaises and collaborates with clients;, delivers statistical analysis and research; and provides statistical training, advice and possible supports to statisticians and non-statisticians. From previous studies and experiences, the availability of well trained statistical consultants are not adequate, which is the case in the North central Nigeria, thereby constituting a major hindrance to the growth and development of statistical capacity building in the region. Hence, there is a need to teach undergraduate and postgraduate statistical students the possible statistical consulting and collaboration techniques through the activities that are usually carried out in the NSUK-LISA Stat Lab, Nigeria to bridge the gap between theory and application. The NSUK-LISA stat lab became a member of the LISA 2020 network in January 2018 with the mission to train staff and students of statistics, organized short courses, and perform research collaboration with non-statisticians. The NSUK-LISA stat lab has held many workshop and training in statistical short courses with the use of R, STATA, EViews and MINITAB and have has successfully collaborated with Postgraduate postgraduate students in Accounting, Business Administration and Statistics. The NSUK-LISA Stat stat lab uses the TEAM (T-Teach, E-Examples with Realreal-world data, A-Attitudinal influence, M-Mentoring) framework in its activities in the stat lab. Many successes have been recorded ranging from effective collaboration, application of appropriate simple and complex statistical methods to any set of data, publications in high impact journals, effective presentation of statistical results, and mentoring of some other LISA stat labs in North Central Nigeria.

Discussion: Prof. Eric Vance

"Discussion on Statistical Consulting and Collaboration Techniques"

The ASCCR Framework (Attitude-Structure-Content-Communication-Relationship) outlines essential collaboration skills and is a strategy for achieving the ends goals of a collaboration: to make a deep contribution (by transforming evidence into action) and creating a strong relationship with the domain expert. The next steps for the LISA 2020 Network are to adapt the ASCCR Frame to local contexts and create a LISA 2020 Certificate for collaboration skills training, technical training, and collaboration experience. This discussion was based on the "ASCCR paper" available at: bit.ly/asccrframe