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Recalibrating single-study effect sizes using hierarchical Bayesian models.
Cao, Zhipeng; McCabe, Matthew; Callas, Peter; Cupertino, Renata B; Ottino-González, Jonatan; Murphy, Alistair; Pancholi, Devarshi; Schwab, Nathan; Catherine, Orr; Hutchison, Kent; Cousijn, Janna; Dagher, Alain; Foxe, John J; Goudriaan, Anna E; Hester, Robert; Li, Chiang-Shan R; Thompson, Wesley K; Morales, Angelica M; London, Edythe D; Lorenzetti, Valentina; Luijten, Maartje; Martin-Santos, Rocio; Momenan, Reza; Paulus, Martin P; Schmaal, Lianne; Sinha, Rajita; Solowij, Nadia; Stein, Dan J; Stein, Elliot A; Uhlmann, Anne; van Holst, Ruth J; Veltman, Dick J; Wiers, Reinout W; Yücel, Murat; Zhang, Sheng; Conrod, Patricia; Mackey, Scott; Garavan, Hugh.
Afiliación
  • Cao Z; Shanghai Xuhui Mental Health Center, Shanghai, China.
  • McCabe M; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Callas P; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Cupertino RB; Department of Mathematics and Statistics, University of Vermont College of Engineering and Mathematical Sciences, Burlington, VT, United States.
  • Ottino-González J; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Murphy A; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Pancholi D; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Schwab N; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Catherine O; Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States.
  • Hutchison K; Department of Psychological Sciences, School of Health Sciences, Swinburne University, Melbourne, VIC, Australia.
  • Cousijn J; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
  • Dagher A; Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands.
  • Foxe JJ; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
  • Goudriaan AE; Department of Neuroscience, The Ernest J. Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.
  • Hester R; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Li CR; Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.
  • Thompson WK; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
  • Morales AM; Laureate Institute for Brain Research, Tulsa, OK, United States.
  • London ED; Department of Psychiatry at Oregon Health and Science University, Portland, OR, United States.
  • Lorenzetti V; David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
  • Luijten M; Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural & Health Sciences, Faculty of Health Sciences, Australian Catholic University, Australia.
  • Martin-Santos R; Behavioural Science Institute, Radboud University, Nijmegen, Netherlands.
  • Momenan R; Department of Psychiatry and Psychology, University of Barcelona, Barcelona, Spain.
  • Paulus MP; Clinical NeuroImaging Research Core, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States.
  • Schmaal L; Laureate Institute for Brain Research, Tulsa, OK, United States.
  • Sinha R; VA San Diego Healthcare System and Department of Psychiatry, University of California San Diego, La Jolla, CA, United States.
  • Solowij N; Orygen, Parkville, VIC, Australia.
  • Stein DJ; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Stein EA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
  • Uhlmann A; School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia.
  • van Holst RJ; SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
  • Veltman DJ; Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States.
  • Wiers RW; Department of Child and Adolescent Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
  • Yücel M; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Zhang S; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
  • Conrod P; Addiction Development and Psychopathology (ADAPT)-Lab, Department of Psychology and Center for Urban Mental Health, University of Amsterdam, Amsterdam, Netherlands.
  • Mackey S; BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging Facility, Monash University, Melbourne, VIC, Australia.
  • Garavan H; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.
Front Neuroimaging ; 2: 1138193, 2023.
Article en En | MEDLINE | ID: mdl-38179200
ABSTRACT

Introduction:

There are growing concerns about commonly inflated effect sizes in small neuroimaging studies, yet no study has addressed recalibrating effect size estimates for small samples. To tackle this issue, we propose a hierarchical Bayesian model to adjust the magnitude of single-study effect sizes while incorporating a tailored estimation of sampling variance.

Methods:

We estimated the effect sizes of case-control differences on brain structural features between individuals who were dependent on alcohol, nicotine, cocaine, methamphetamine, or cannabis and non-dependent participants for 21 individual studies (Total cases 903; Total controls 996). Then, the study-specific effect sizes were modeled using a hierarchical Bayesian approach in which the parameters of the study-specific effect size distributions were sampled from a higher-order overarching distribution. The posterior distribution of the overarching and study-specific parameters was approximated using the Gibbs sampling method.

Results:

The results showed shrinkage of the posterior distribution of the study-specific estimates toward the overarching estimates given the original effect sizes observed in individual studies. Differences between the original effect sizes (i.e., Cohen's d) and the point estimate of the posterior distribution ranged from 0 to 0.97. The magnitude of adjustment was negatively correlated with the sample size (r = -0.27, p < 0.001) and positively correlated with empirically estimated sampling variance (r = 0.40, p < 0.001), suggesting studies with smaller samples and larger sampling variance tended to have greater adjustments.

Discussion:

Our findings demonstrate the utility of the hierarchical Bayesian model in recalibrating single-study effect sizes using information from similar studies. This suggests that Bayesian utilization of existing knowledge can be an effective alternative approach to improve the effect size estimation in individual studies, particularly for those with smaller samples.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neuroimaging Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neuroimaging Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza