ArticleDevelopmental cognitive neuroscience2023
The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods.
Article in Developmental cognitive neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Article
- Methodological considerations in longitudinal symptom assessment during chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Family background and peer victimization are associated with generalized trust from adolescence to adulthood.Communications psychology · 2026Article
- Trajectories of hippocampal subregion development in the first years of life and their association with school-aged episodic memory outcomes.bioRxiv : the preprint server for biology · 2026Article
- Modelling non-linear personality change surrounding transitions: A review of statistical approaches.European journal of personality · 2026Article
- Early nicotine initiation and white matter integrity: Associations from late childhood to mid-adolescence.Drug and alcohol dependence · 2025Article
- Article
- Sex differences in maturational timing of amygdala and prefrontal cortex volumes and white matter tract microstructure.Developmental cognitive neuroscience · 2025Article
- Relationships between wellbeing polygenic scores, brain structure, and psychopathology in children.medRxiv : the preprint server for health sciences · 2025Article
- Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025Review
- Longitudinal Sex-at-Birth and Age Analyses of Cortical Structure in the ABCD Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Exploring Reciprocal Associations Between Self-Reported Anxiety and Eating Disorder Symptoms Longitudinally: A Bivariate Latent Change Score Approach.The International journal of eating disorders · 2025Article
- Positioning adolescence in the developmental timeline.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2024Article
- Psychiatric neuroimaging at a crossroads: Insights from psychiatric genetics.Developmental cognitive neuroscience · 2024Review
- Longitudinal mediation analysis with multilevel and latent growth models: a separable effects causal approach.BMC medical research methodology · 2024Article
- Polycyclic aromatic hydrocarbon exposure effects on trajectories of maternal and adolescent mental health.Child and adolescent psychiatry and mental health · 2024Article
- Neuronal Coupling Modes Show Differential Development in the Early Cortical Activity Networks of Human Newborns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Common Cause Versus Dynamic Mutualism: An Empirical Comparison of Two Theories of Psychopathology in Two Large Longitudinal Cohorts.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Conceptualizing and Examining Change in Communication Research.Communication methods and measures · 2023Article
- Continuity versus change in latent profiles of emotion regulation and working memory during adolescence.Developmental cognitive neuroscience · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Longitudinal data are becoming increasingly available in developmental neuroimaging. To maximize the promise of this wealth of information on how biology, behavior, and cognition change over time, there is a need to incorporate broad and rigorous training in longitudinal methods into the repertoire of developmental neuroscientists. Fortunately, these models have an incredibly rich tradition in the broader developmental sciences that we can draw from. Here, we provide a primer on longitudinal models, written in a beginner-friendly (and slightly irreverent) manner, with a particular focus on selecting among different modeling frameworks (e.g., multilevel versus latent curve models) to build the theoretical model of development a researcher wishes to test. Our aims are three-fold: (1) lay out a heuristic framework for longitudinal model selection, (2) build a repository of references that ground each model in its tradition of methodological development and practical implementation with a focus on connecting researchers to resources outside traditional neuroimaging journals, and (3) provide practical resources in the form of a codebook companion demonstrating how to fit these models. These resources together aim to enhance training for the next generation of developmental neuroscientists by providing a solid foundation for future forays into advanced modeling applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.