ABCD: Biospecimens

This lecture includes a description of biospecimens (hair, baby teeth, saliva, and blood), including collection protocols, methodological considerations, storage and analysis, and variations across time points.

Analytic Approaches: Reproducible Practices in Machine Learning

This lecture includes a description of individual differences analyses, machine learning basics, training/testing approaches, and generalization.

Kristina Urban (she/her)

Gaël Varoquaux (he/him)

YouTube Lecture | Slides

YouTube Lecture | Slides

Uban et al.: 'Biospecimens and the ABCD study: Rationale, methods of collection, measurement and early data'

Varoquaux et al.: 'Cross-validation failure: small sample sizes lead to large error bars

Week 11 Data Exercise

Week 11 Solutions