ACRM 2022 IC17: Longitudinal Data Analysis Using R: Part I Introductory Topics

By:
Allan J. Kozlowski, PhD, B.Sc. (PT) - Consultant, Mary Free Bed Rehabilitation Hospital
Keith Lohse, PhD, PStat - Associate Professor, Washington University School of Medicine
Video walk through of the data and code from Part 1 of the course:
github.com/keithlohse/LMER_Cl...
See specifically handout 1: github.com/keithlohse/LMER_Cl...

[@bipinthapa3338]

Thank you for such a lucid explanation and visualization of longitudinal analysis

[@michelleleemans7015]

Thank you very much for these clear explanations.

[@craighansen2818]

Great video and course materials, thanks for sharing.

[@user-ss6my3rl8d]

Thanks so much for such wonderful video! I always confused by the treatment coding of the interaction in R. Thanks for explaining this!

[@rejuanhaque7064]

Great video!! I love the explanations!

[@richaka]

Great work Dr. Keith Lohse

[@lohsifer]

Thank you very much. Glad it was helpful!

[@marcogelsomini7655]

15:45 nicee explanation, thanks!

[@eyadha1]

Thank you very much for this very helpful video.

[@lohsifer]

Glad it was helpful!

[@espnunez]

Thank you so much!!

[@user-me1um6ot7l]

Thank you for these wonderful videos, they are very helpful. Just a small comment: it would be very helpful to discuss in which situation which model should be used. For example, when the researchers should use a nonlinear negative exponential mixed effect models and how they should choose random and fixed effects. Unfortunately, I did not have time to go through all the videos. Please skip my comment if you have already discussed these points.

[@caviper1]

gracias

[@camilaramirezzapata994]

ccol. thanks

[@lohsifer]

Thank you. Glad it was helpful!