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Open Access 01-12-2020 | Attention Deficit Hyperactivity Disorder | Database

The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims

Authors: Margaret H. Sibley, Stefany J. Coxe

Published in: BMC Psychiatry | Issue 1/2020

Abstract

Background

The Attention Deficit Hyperactivity Disorder (ADHD) Teen Integrative Data Analysis Longitudinal (TIDAL) dataset integrates data from four randomized trials.

Method

Participants with ADHD (N = 854; 72.5% male, 92.5% racial/ethnic minority, ages 10–17) were assessed three times across 12 months. Data includes parent, self, and teacher ratings, observations, and school records. The battery was harmonized using an Integrative Data Analysis (IDA) approach to form variables that assign unique values to all participants.

Results

The data will be used to investigate: (1) profiles that organize the heterogeneous population into clinically meaningful subgroups, (2) whether these profiles predict treatment response, (3) heterogeneity in treatment response and variables that predict this response, (4) how treatment characteristics and adjunctive supports predict treatment response, and (5) mediators of treatment and whether these mechanisms are moderated by treatment characteristics.

Conclusions

The ADHD TIDAL Dataset will be openly shared with the field to maximize its utility.

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Title: The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims
Authors: Margaret H. Sibley
Stefany J. Coxe
Publication date: 01-12-2020
Publisher: BioMed Central
Keywords: Attention Deficit Hyperactivity Disorder
Attention Deficit Hyperactivity Disorder
Published in: BMC Psychiatry / Issue 1/2020
Electronic ISSN: 1471-244X
DOI: https://doi.org/10.1186/s12888-020-02734-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

The ADHD teen integrative data analysis longitudinal (TIDAL) dataset: background, methodology, and aims

Abstract

Background

Method

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Method

Results

Conclusions

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