Cross-trial prediction of treatment outcome in depression: a machine learning approach.

[1]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[2]  D. E. Lawrence,et al.  APACHE—acute physiology and chronic health evaluation: a physiologically based classification system , 1981, Critical care medicine.

[3]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[4]  M. Zimmerman,et al.  A self-report scale to help make psychiatric diagnoses: the Psychiatric Diagnostic Screening Questionnaire. , 2001, Archives of general psychiatry.

[5]  J. Friedman.  Stochastic gradient boosting , 2002 .

[6]  M. Kattan,et al.  Comparisons of nomograms and urologists' predictions in prostate cancer. , 2002, Seminars in urologic oncology.

[7]  P. Nutting,et al.  Managing depression as a chronic disease: a randomised trial of ongoing treatment in primary care , 2002, BMJ : British Medical Journal.

[8]  R. Berk.  Regression Analysis: A Constructive Critique , 2003 .

[9]  Murray F. Brennan,et al.  Prognostic Nomogram for Patients Undergoing Resection for Adenocarcinoma of the Pancreas , 2004, Annals of surgery.

[10]  M. Kattan,et al.  Predicting Nonsentinel Node Status After Positive Sentinel Lymph Biopsy for Breast Cancer: Clinicians Versus Nomogram , 2005, Annals of Surgical Oncology.

[11]  Fluoxetine versus other types of pharmacotherapy for depression , 2013 .

[12]  M. Hotopf,et al.  Fluoxetine versus other types of pharmacotherapy for depression. , 2005, The Cochrane database of systematic reviews.

[13]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[14]  B. Lebowitz,et al.  Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. , 2006, The American journal of psychiatry.

[15]  Cues they use: clinicians' endorsement of risk cues in predictions of dangerousness. , 2006, Behavioral sciences & the law.

[16]  Jerome H. Friedman,et al.  Recent Advances in Predictive (Machine) Learning , 2006, J. Classif..

[17]  D Andrew Loblaw,et al.  Assessing individual risk for prostate cancer. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  Maurizio Fava,et al.  The STAR*D project results: A comprehensive review of findings , 2007, Current psychiatry reports.

[19]  John T Granton,et al.  Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery. , 2007, JAMA.

[20]  Maurizio Fava,et al.  Selecting among second-step antidepressant medication monotherapies: predictive value of clinical, demographic, or first-step treatment features. , 2008, Archives of general psychiatry.

[21]  Max Kuhn,et al.  Building Predictive Models in R Using the caret Package , 2008 .

[22]  J. Geddes,et al.  Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis , 2009, The Lancet.

[23]  M W Kattan,et al.  Nomograms for predicting graft function and survival in living donor kidney transplantation based on the UNOS Registry. , 2009, The Journal of urology.

[24]  Rakesh Jain,et al.  Comparative effectiveness of biomarkers and clinical indicators for predicting outcomes of SSRI treatment in Major Depressive Disorder: Results of the BRITE-MD study , 2009, Psychiatry Research.

[25]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[26]  S. Horvath,et al.  Biomarkers to Predict Antidepressant Response , 2010, Current psychiatry reports.

[27]  M. Rietschel,et al.  Depression symptom dimensions as predictors of antidepressant treatment outcome: replicable evidence for interest-activity symptoms , 2011, Psychological Medicine.

[28]  Combining Medications to Enhance Depression Outcomes (CO-MED): Acute and Long-Term Outcomes of a Single-Blind Randomized Study , 2012 .

[29]  R. Perlis.  A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder , 2013, Biological Psychiatry.

[30]  B. Wells,et al.  Predictive models for short- and long-term adverse outcomes following discharge in a contemporary population with acute coronary syndromes. , 2013, American journal of cardiovascular disease.

[31]  P. Hartge,et al.  Risk Prediction for Breast, Endometrial, and Ovarian Cancer in White Women Aged 50 y or Older: Derivation and Validation from Population-Based Cohort Studies , 2013, PLoS medicine.

[32]  M. Kattan,et al.  Clinicians versus nomogram: predicting future technetium-99m bone scan positivity in patients with rising prostate-specific antigen after radical prostatectomy for prostate cancer. , 2013, Urology.

[33]  Max Kuhn,et al.  Applied Predictive Modeling , 2013 .

[34]  Stephan Ripke,et al.  Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies. , 2013, The American journal of psychiatry.

[35]  R. Reading,et al.  Diagnostic exome sequencing in persons with severe intellectual disability , 2013 .

[36]  David C. Reutens,et al.  Elemental Spatial and Temporal Association Formation in Left Temporal Lobe Epilepsy , 2014, PloS one.

[37]  Zachary D. Cohen,et al.  The Personalized Advantage Index: Translating Research on Prediction into Individualized Treatment Recommendations. A Demonstration , 2014, PloS one.

[38]  E. Fried,et al.  Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study. , 2015, Journal of affective disorders.

[39]  P. Cuijpers,et al.  What if a placebo effect explained all the activity of depression treatments? , 2015, World psychiatry : official journal of the World Psychiatric Association.

[40]  Martin P. Paulus,et al.  Pragmatism Instead of Mechanism: A Call for Impactful Biological Psychiatry. , 2015, JAMA psychiatry.

[41]  M. Trivedi,et al.  Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches. , 2015, The American journal of psychiatry.

[42]  Karim Jerbi,et al.  Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy , 2015, Journal of Neuroscience Methods.

[43]  T. Insel,et al.  Brain disorders? Precisely , 2015, Science.

[44]  J. Krystal,et al.  Personalised pharmacotherapy: an interim solution for antidepressant treatment? , 2015, BMJ : British Medical Journal.

[45]  R. Kessler,et al.  Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS). , 2015, JAMA psychiatry.