Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study

[1]  W. Lutz,et al.  Translating Person-Specific Network Models into Personalized Treatments: Development and Demonstration of the Dynamic Assessment Treatment Algorithm for Individual Networks (DATA-IN) , 2018, Psychotherapy and Psychosomatics.

[2]  J. Gagné Literature Review , 2018, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[3]  J. Holt-Lunstad,et al.  Advancing Social Connection as a Public Health Priority in the United States , 2017, The American psychologist.

[4]  W. Lutz,et al.  Randomized controlled trial to evaluate the effects of personalized prediction and adaptation tools on treatment outcome in outpatient psychotherapy: study protocol , 2017, BMC Psychiatry.

[5]  Glenn Lawyer,et al.  Exploring the Idiographic Dynamics of Mood and Anxiety via Network Analysis , 2017, Journal of abnormal psychology.

[6]  F. Q. Ribeiro The meta-analysis , 2017, Brazilian journal of otorhinolaryngology.

[7]  M. Barkham,et al.  The Contribution of Therapist Effects to Patient Dropout and Deterioration in the Psychological Therapies. , 2017, Clinical psychology & psychotherapy.

[8]  P. de Jonge,et al.  The Impact of Treatments for Depression on the Dynamic Network Structure of Mental States: Two Randomized Controlled Trials , 2017, Scientific Reports.

[9]  L. Castonguay,et al.  Therapist Effects on Dropout From a College Counseling Center Practice Research Network , 2017, Journal of counseling psychology.

[10]  A. Page,et al.  Therapist Effects on and Predictors of Non-Consensual Dropout in Psychotherapy. , 2017, Clinical psychology & psychotherapy.

[11]  D. Borsboom A network theory of mental disorders , 2017, World psychiatry : official journal of the World Psychiatric Association.

[12]  E. Rafaeli,et al.  Daily affect dynamics predict early response in CBT: Feasibility and predictive validity of EMA for outpatient psychotherapy. , 2016, Journal of affective disorders.

[13]  S. Hofmann,et al.  A Complex Network Perspective on Clinical Science , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[14]  W. Lutz,et al.  Different people respond differently to therapy: A demonstration using patient profiling and risk stratification. , 2016, Behaviour research and therapy.

[15]  D. Borsboom,et al.  A Prospective Study on How Symptoms in a Network Predict the Onset of Depression , 2016, Psychotherapy and Psychosomatics.

[16]  Claudia D van Borkulo,et al.  Association of Symptom Network Structure With the Course of [corrected] Depression. , 2015, JAMA psychiatry.

[17]  W. Lutz,et al.  Patient-focused and feedback research in psychotherapy: Where are we and where do we want to go? , 2015, Psychotherapy research : journal of the Society for Psychotherapy Research.

[18]  Y. Hao,et al.  Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents , 2015, PLoS ONE.

[19]  Glenn Lawyer,et al.  Understanding the influence of all nodes in a network , 2015, Scientific Reports.

[20]  Susanne M. Jaeggi,et al.  Emotion-Network Density in Major Depressive Disorder , 2015, Clinical psychological science : a journal of the Association for Psychological Science.

[21]  D. Borsboom,et al.  State of the aRt personality research: A tutorial on network analysis of personality data in R , 2015 .

[22]  G. Lawyer Understanding the spreading power of all nodes in a network: a continuous-time perspective , 2014, ArXiv.

[23]  Peter Kuppens,et al.  Correction: A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data , 2014, PLoS ONE.

[24]  S. Gilbody,et al.  Early changes, attrition, and dose-response in low intensity psychological interventions. , 2014, The British journal of clinical psychology.

[25]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[26]  A. Werbart,et al.  Therapist and relationship factors influencing dropout from individual psychotherapy: A literature review , 2013, Psychotherapy research : journal of the Society for Psychotherapy Research.

[27]  D. Borsboom,et al.  A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data , 2013, PloS one.

[28]  D. Borsboom,et al.  Deconstructing the construct: A network perspective on psychological phenomena , 2013 .

[29]  D. Borsboom,et al.  Network analysis: an integrative approach to the structure of psychopathology. , 2013, Annual review of clinical psychology.

[30]  G. Andersson,et al.  Influence of initial severity of depression on effectiveness of low intensity interventions: meta-analysis of individual patient data , 2013, BMJ : British Medical Journal.

[31]  Ulrich Ebner-Priemer,et al.  Ambulatory assessment. , 2013, Annual review of clinical psychology.

[32]  Verena D. Schmittmann,et al.  Qgraph: Network visualizations of relationships in psychometric data , 2012 .

[33]  G. Miller,et al.  Science Perspectives on Psychological the Smartphone Psychology Manifesto on Behalf Of: Association for Psychological Science the Smartphone Psychology Manifesto Previous Research Using Mobile Electronic Devices What Smartphones Can Do Now and Will Be Able to Do in the near Future , 2022 .

[34]  J. Swift,et al.  Premature discontinuation in adult psychotherapy: a meta-analysis. , 2012, Journal of consulting and clinical psychology.

[35]  Peter Bühlmann,et al.  MissForest - non-parametric missing value imputation for mixed-type data , 2011, Bioinform..

[36]  E. Overton,et al.  Non-completion of personality disorder treatments: a systematic review of correlates, consequences, and interventions. , 2010, Clinical psychology review.

[37]  G. Tutz,et al.  An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. , 2009, Psychological methods.

[38]  P. Crits-Christoph,et al.  EARLY WITHDRAWAL FROM MENTAL HEALTH TREATMENT: IMPLICATIONS FOR PSYCHOTHERAPY PRACTICE. , 2008, Psychotherapy.

[39]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[40]  Chong Jin Ong,et al.  A Feature Selection Method for Multilevel Mental Fatigue EEG Classification , 2007, IEEE Transactions on Biomedical Engineering.

[41]  P. Cuijpers,et al.  Behavioral activation treatments of depression: a meta-analysis. , 2007, Clinical psychology review.

[42]  John S. Lyons,et al.  Therapist Effects in Outpatient Psychotherapy: A Three-Level Growth Curve Approach , 2007 .

[43]  Grant T. Harris,et al.  Comparing Effect Sizes in Follow-Up Studies: ROC Area, Cohen's d, and r , 2005, Law and human behavior.

[44]  Mark C Simmonds,et al.  Meta-analysis of individual patient data from randomized trials: a review of methods used in practice , 2005, Clinical trials.

[45]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[46]  D. Stone,et al.  Prediction of clinical drug efficacy by classification of drug-induced genomic expression profiles in vitro , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[47]  S. Friis,et al.  Day treatment of patients with personality disorders: experiences from a Norwegian treatment research network. , 2003, Journal of personality disorders.

[48]  M. First,et al.  Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research version (SCID-I RV) , 2002 .

[49]  G. Dunbar,et al.  The validity of the Mini International Neuropsychiatric Interview (MINI) according to the SCID-P and its reliability , 1997, European Psychiatry.

[50]  Mindy Seering,et al.  Study protocol. , 1992, Occasional paper.

[51]  J. House,et al.  Social relationships and health. , 1988, Science.

[52]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.