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Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study
16 references·0 citing·50 second hopsampled
Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study (2018)Biomarker-based subtyping of depression a…Is there a bi-directional relationship between depression and obesity among adult men and women? Systematic review and bias-adjusted meta analysis (2016)Is there a bi-directional rel…A Meta-Analysis of Cognitive-Behavioural Therapy for Adult Depression, Alone and in Comparison with other Treatments (2013)A Meta-Analysis of Cognitive-…Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? (2012)Why has it taken so long for …Data-driven subtypes of major depressive disorder: a systematic review (2012)Data-driven subtypes of major…The heterogeneity of “major depression” (2011)The heterogeneity of “major d…The Costs of Depression (2011)The Costs of DepressionResearch Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders (2010)Research Domain Criteria (RDo…Overweight, Obesity, and Depression (2010)Overweight, Obesity, and Depr…The effects of psychotherapy for adult depression are overestimated: a meta-analysis of study quality and effect size (2009)The effects of psychotherapy …The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods (2008)The Netherlands Study of Depr…Does Depression Cause Obesity? (2008)Does Depression Cause Obesity?Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study (2007)Deciding on the Number of Cla…Investigating population heterogeneity with factor mixture models. (2005)Investigating population hete…Distinguishing Between the Validity and Utility of Psychiatric Diagnoses (2002)Distinguishing Between the Va…The Inventory of Depressive Symptomatology (IDS): psychometric properties (1996)The Inventory of Depressive S…An inventory for measuring clinical anxiety: Psychometric properties. (1988)An inventory for measuring cl…Chapter 2. Neuroscience Research Agenda to Guide Development of a Pathophysiologically Based Classification System (2002)Can neuroscience be integrated into the DSM-V? (2007)The Conceptual Development of DSM-V (2009)Thwarted belongingness and perceived burdensomeness: Construct validity and psychometric properties of the Interpersonal Needs Questionnaire. 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(2017)Measuring inconsistency in meta-analyses (2003)Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: a systematic review and meta-analysis (2014)The effects of psychotherapies for major depression in adults on remission, recovery and improvement: A meta-analysis (2014)The Role of Common Factors in Psychotherapy Outcomes (2018)Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. (1989)Measurement Invariance, Factor Analysis and Factorial Invariance (1993)Sample size in factor analysis. (1999)Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009)Bias in meta-analysis detected by a simple, graphical test (1997)Introduction to Meta‐Analysis (2009)A Systematic Review Assessing Bidirectionality between Sleep Disturbances, Anxiety, and Depression (2013)Burnout–depression overlap: A review (2015)Depression sum-scores don’t add up: why analyzing specific depression symptoms is essential (2015)Why Most Published Research Findings Are False (2005)Effect size, confidence interval and statistical significance: a practical guide for biologists (2007)The p Factor (2013)The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry (2014)The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology (2014)THE ASSESSMENT OF ANXIETY STATES BY RATING (1959)Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation (1988)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)Acceptance and Commitment Therapy: Model, processes and outcomes (2005)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)
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References

  • 1988An inventory for measuring clinical anxiety: Psychometric properties.14,491 cited
  • 2007Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study11,555 cited
  • 2010Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders7,084 cited
  • 2010Overweight, Obesity, and Depression4,505 cited
  • 1996The Inventory of Depressive Symptomatology (IDS): psychometric properties2,175 cited
  • 2002Distinguishing Between the Validity and Utility of Psychiatric Diagnoses1,253 cited
  • 2013A Meta-Analysis of Cognitive-Behavioural Therapy for Adult Depression, Alone and in Comparison with other Treatments1,171 cited
  • 2005Investigating population heterogeneity with factor mixture models.1,148 cited
  • 2012Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?983 cited
  • 2008The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods926 cited
  • 2011The Costs of Depression871 cited
  • 2009The effects of psychotherapy for adult depression are overestimated: a meta-analysis of study quality and effect size533 cited
  • 2008Does Depression Cause Obesity?372 cited
  • 2011The heterogeneity of “major depression”335 cited

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  • 2012Data-driven subtypes of major depressive disorder: a systematic review322 cited
  • 2016Is there a bi-directional relationship between depression and obesity among adult men and women? Systematic review and bias-adjusted meta analysis280 cited
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