ArticlePrevention science : the official journal of the Society for Prevention Research2018
Addressing Methodologic Challenges and Minimizing Threats to Validity in Synthesizing Findings from Individual-Level Data Across Longitudinal Randomized Trials.
Article in Prevention science : the official journal of the Society for Prevention Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Treatment for co-occurring posttraumatic stress disorder and substance use disorders among veterans and civilians: A test of causally moderated comparative effectiveness.Psychological trauma : theory, research, practice and policy · 2026Pooled it
- Addressing Systematic Missing Data in the Context of Causally Interpretable Meta-analysis.Prevention science : the official journal of the Society for Prevention Research · 2023Pooled it
- Project Harmony: A Meta-Analysis With Individual Patient Data on Behavioral and Pharmacologic Trials for Comorbid Posttraumatic Stress and Alcohol or Other Drug Use Disorders.The American journal of psychiatry · 2023Pooled it
- A Structural Equation Modeling Approach to Meta-analytic Mediation Analysis Using Individual Participant Data: Testing Protective Behavioral Strategies as a Mediator of Brief Motivational Intervention Effects on Alcohol-Related Problems.Prevention science : the official journal of the Society for Prevention Research · 2022Pooled it
- Addressing Methodological Challenges in Follow-Up RCTs During the COVID-19 Pandemic: The Impact of the Good Behavior Game and MyTeachingPartner™ on Teacher Burnout and Self-Efficacy.Prevention science : the official journal of the Society for Prevention Research · 2026Trial
- Project Harmony 2.0: protocol for an updated and expanded individual patient data meta-analysis and virtual clinical trial of treatments for comorbid PTSD and substance use disorders.European journal of psychotraumatology · 2026Article
- Comparative effectiveness of social-contextual treatments for improving substance-related problems among Black adults: An individual-level data synthesis.Addiction (Abingdon, England) · 2026Article
- How changes in post-traumatic stress disorder (PTSD) severity mediate substance use disorder (SUD) severity during and after treatment for co-occurring PTSD and SUD: Results from Project Harmony.Addiction (Abingdon, England) · 2025Observational
- Preventing Suicidal Thoughts and Behaviors Among Youth: Integrative Data Analysis of Crossover Impacts of the Coping Power Preventive Intervention.JAACAP open · 2025Article
- An individual-level data synthesis of Clinical Trials Network studies to examine the impact of psychosocial treatments for Black people who use cocaine and/or opioids.Drug and alcohol dependence · 2025Article
- A Framework for Estimating Posttreatment Moderation of Treatment-by-Dosage Effects in Individual-Patient Meta-Analysis: An Illustration Using Project Harmony.Clinical psychological science : a journal of the Association for Psychological Science · 2025Article
- Impulsivity profiles across five harmonized longitudinal childhood preventive interventions and associations with adult outcomes.Development and psychopathology · 2025Article
- Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Mitigating Multiple Sources of Bias in a Quasi-Experimental Integrative Data Analysis: Does Treating Childhood Anxiety Prevent Substance Use Disorders in Late Adolescence/Young Adulthood?Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Integrative data analysis of clinical trials network studies to examine the impact of psychosocial treatments for black people who use cocaine: Study protocol.Contemporary clinical trials · 2023Article
- Secondary Analysis to Inform the Development of Adaptive Preventive Interventions.Clinical child and family psychology review · 2022Article
- Accounting for Context in Randomized Trials after Assignment.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- The North Italian Longitudinal Study Assessing the Mental Health Effects of SARS-CoV-2 Pandemic Health Care Workers-Part II: Structural Validity of Scales Assessing Mental Health.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
Abstract
Integrative Data Analysis (IDA) encompasses a collection of methods for data synthesis that pools participant-level data across multiple studies. Compared with single-study analyses, IDA provides larger sample sizes, better representation of participant characteristics, and often increased statistical power. Many of the methods currently available for IDA have focused on examining developmental changes using longitudinal observational studies employing different measures across time and study. However, IDA can also be useful in synthesizing across multiple randomized clinical trials to improve our understanding of the comprehensive effectiveness of interventions, as well as mediators and moderators of those effects. The pooling of data from randomized clinical trials presents a number of methodological challenges, and we discuss ways to examine potential threats to internal and external validity. Using as an illustration a synthesis of 19 randomized clinical trials on the prevention of adolescent depression, we articulate IDA methods that can be used to minimize threats to internal validity, including (1) heterogeneity in the outcome measures across trials, (2) heterogeneity in the follow-up assessments across trials, (3) heterogeneity in the sample characteristics across trials, (4) heterogeneity in the comparison conditions across trials, and (5) heterogeneity in the impact trajectories. We also demonstrate a technique for minimizing threats to external validity in synthesis analysis that may result from non-availability of some trial datasets. The proposed methods rely heavily on latent variable modeling extensions of the latent growth curve model, as well as missing data procedures. The goal is to provide strategies for researchers considering IDA.
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What OpenQuestion holds
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.