Jess Selinger of Queens University presents best practices and lessons learned from analyzing large-scale physical activity data. In particular, she presents examples from her work of how to: 1) identify and combine datasets to answer your question of interest, 2) clean and prepare your datasets for analysis, and 3) challenge and verify the robustness of your conclusions.
This webinar is offered jointly with the Restore Center (https://restore.stanford.edu/), an NIH-funded Medical Rehabilitation Research Resource Network Center at Stanford University.
Watch part 1 of this webinar – Energetics and Big Data Explain Ecological Running Speeds: • Webinar: Energetics and Big Data Approach ...
Learn more:
Read the associated publication:
https://www.cell.com/current-biology/...
Read about best practices for analyzing wearable data:
https://www.nature.com/articles/s4174...