-
Week 13
-
event
ABCD: Longitudinal data
This session introduces longitudinal modeling, reviews common statistical models of longitudinal change, discusses developmental research questions and applications, surveys available (and missing) software tools, and highlights key troubleshooting issues and gaps in the literature.
-
event
ABCD: Longitudinal models and data analysis
This lecture addresses challenges to validity in longitudinal observational studies, including internal and external validity, measurement error and longitudinal measurement non-invariance, as well as issues of causal inference and the use of sensitivity analyses..
-
Tara Madhyastha (she/her)
-
Wes Thompson (he/him)
-
YouTube Lecture | Slides
-
YouTube Lecture 1 | Slides
YouTube Lecture 2 | Slides
YouTube Lecture 3 | Slides
-
Madhyastha et al.: 'Current methods and limitations for longitudinal fMRI analysis across development.'
-
Hawes et al.:'Longitudinal analysis of the ABCD® study.'
Dick er al.: 'Meaningful associations in the adolescent brain cognitive development study.'
Li et al.: 'Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development ABCD Study® Study®.'
-
Week 13 Data Exercise
Week 13 Solutions