A Guide for Population-based Analysis of the Adolescent Brain Cognitive Development (ABCD) Study Baseline Data

Heeringa, Steven G.; Berglund, Patricia A.

doi:10.1101/2020.02.10.942011

PreprintCited by 247Survey Sampling and Estimation TechniquesStatistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

A Guide for Population-based Analysis of the Adolescent Brain Cognitive Development (ABCD) Study Baseline Data

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Heeringa, Steven G., Berglund, Patricia A.·2020·bioRxiv (Cold Spring Harbor Laboratory)

DOI 10.1101/2020.02.10.942011

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Abstract

ABCD is a longitudinal, observational study of U.S. children, ages 9-10 at baseline, recruited at random from the household populations in defined catchment areas for each of 21 study sites. The 21 geographic locations that comprise the ABCD research sites are nationally distributed and generally represent the range of demographic and socio-economic diversity of the U.S. birth cohorts that comprise the ABCD study population. The clustering of participants and the potential for selection bias in study site selection and enrollment are features of the ABCD observational study design that are informative for statistical estimation and inference. Both multi-level modeling and robust survey design-based methods can be used to account for clustering of sampled ABCD children in the 21 study sites. Covariate controls in analytical models and propensity weighting methods that calibrate ABCD weighted distributions to nationally-representative controls from the American Community Survey (ACS) can be employed in analysis to account for known informative sample design features or to attenuate potential demographic and socio-economic selection bias in the national sampling and recruitment of eligible children. This guide will present results of an empirical investigation of the ABCD baseline data that compares the statistical efficiency of multi-level modeling and distribution-free design-based approaches—both weighted and unweighted--to analyses of the ABCD baseline data. Specific recommendations will be provided for researchers on robust, efficient approaches to both descriptive and multivariate analyses of the ABCD baseline data.

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Data analyses applied propensity weights based on the American Community Survey.
“Data analyses were performed using Stata 18.0 (College Station, TX) and applied propensity weights based on the American Community Survey [104].”
From Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study (2024) · cites this paper as [104]

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Longitudinal analysis of the ABCD® study
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Self-citation
Introduction
Jernigan, T. L., & Brown, S. A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.02.002 · Cited by 122 · see citing works
Diversity-aware Population Models: Quantifying Socio-Spatial Effects on Cognitive Development in the ABCD Cohort using Bayesian Multilevel Regression and Poststratification
Osayande, N. (2024) · eScholarship@McGill (McGill) · doi:10.82308/7057
About the ABCD Study: From NIDA
(2022) · Alcoholism & Drug Abuse Weekly · doi:10.1002/adaw.33559
Adolescent Brain Cognitive Development (ABCD) StudyPreprint
Chiu, M., Wang, S., Zhang, H., Reice, C. D., Tepfer, L. J., Gaisinsky, J., Ng, T. H.-Y., Beard, E. C., Smith, D. V., Henninger, N. M., et al. (2018) · OSF Preprints (OSF Preprints)

Authors: Heeringa, S. G., & Berglund, P. A.
Affiliations: University of Michigan (US)
Corresponding author: Heeringa, Steven G.
ORCID: Heeringa, Steven G.
Berglund, Patricia A.
Venue: bioRxiv (Cold Spring Harbor Laboratory)
Publisher: openRxiv
Published: 2020-02-10
DOI: 10.1101/2020.02.10.942011
OpenAlex: W3005123580
Cited by: 247
References: 17
Citations by year: 2026: 23 · 2025: 50 · 2024: 54 · 2023: 44 · 2022: 38 · 2021: 30 · 2020: 8
Type: posted content
Language: en
Open access: green
doi.org
Licence: cc-by-nd
creativecommons.org/licenses/by-nd/4.0/ (vor)
Locations: bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: Adolescent Brain Cognitive Development Study, population-based study, survey design, multilevel modeling, design-based estimation, survey weights, selection bias, socioeconomic diversity, American Community Survey, statistical efficiency, adolescent brain development, cognitive development

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A Guide for Population-based Analysis of the Adolescent Brain Cognitive Development (ABCD) Study Baseline Data

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