Education & Training
This page will contain Education & Training materials developed or highly recommended by members of the network.
YouTube
Check out content on our YouTube Channel: LISACollaboration
Shared File Repository
We are working on populating a shared file repository with materials from the network. Use the links below to access the shared materials. If you have materials to share, please submit them via the "Submission for Review" folder.
Workshops, Webinars and Slides
10 Common Statistical Mistakes to Watch Out for While Writing or Reviewing a Manuscript
Dr. Imran Khan, Associate Professor Statistics, Coordinator SKUAST-K-LISA, SKUAST-Kashmir, India
Prof. Tonya Esterhuizen, Epidemiology and Biostatistics Unit, Stellenbosch University, South Africa
This webinar was held on 2022-10-04 at 14:30 UTC. The slides from the webinar are available here.
Asking Great Questions
Dr. Eric Vance, Associate Professor of Applied Mathematics, Director of LISA and the LISA 2020 Global Network, University of Colorado Boulder, CO, USA
Good questions
Elicit information a statistician needs to complete the TASK of the project
Help to strengthen the RELATIONSHIP with the domain expert
Great questions do BOTH
Three strategies for asking great questions
Preface your intent (say why you are asking the question before asking it)
Follow up and follow through (listen, paraphrase, and summarize the answer; ask thoughtful follow-up questions; be reliable in doing what you said you were going to do
Ask questions in a collaborative manner ("soften" your questions, maybe use "more words" to make the questions less pointed, always phrase the question as a question--not a command)
The paper has many more details about asking great questions: “Asking Great Questions,” Vance, Trumble, Alzen, Smith (2022) Stat, 11(1). par.nsf.gov/servlets/purl/10333522
We can turn good questions into great questions and practice asking them in our collaboration meetings.
If we get a little better in our collaborations (because we ask better questions) that improvement will compound over time and we will soon be 10x better as collaborators.
This webinar was held 2024-12-05. Slides publicly available: Asking Great Questions.LISA 2020.pdf
Overview of the ASCCR Framework for Statistical Collaboration
Dr. Eric Vance, Associate Professor of Applied Mathematics, Director of LISA and the LISA 2020 Global Network, University of Colorado Boulder, CO, USA
The paper underlying this work won the 2020 ASA Jackie Dietz Award for The Best Paper of the Year in the Journal of Statistics and Data Science Education. Open access link: bit.ly/asccrframe
ASCCR stands for five principal components of collaboration: Attitude, Structure, Content, Communication, and Relationship
This webinar was held 2024-11-06. Slides publicly available: LISA2020.Workshop_2024-11-07.pdf