R. M. Bagby, A. G. Ryder, D. R. Schuller, and M. B. Marshall, The Hamilton Depression Rating Scale: has the gold standard become a lead weight?, The American Journal of Psychiatry, vol.161, issue.12, pp.2163-2177, 2004.

F. Benazzi, Bipolar disorder-focus on bipolar II disorder and mixed depression, The Lancet, vol.369, issue.9565, pp.935-945, 2007.

D. Borsboom and A. O. Cramer, Network analysis: an integrative approach to the structure of psychopathology, Annual Review of Clinical Psychology, vol.9, pp.91-121, 2013.


L. Boschloo, C. D. Borkulo, M. Van,-rhemtulla, K. M. Keyes, D. Borsboom et al., , 2015.

, The Network Structure of Symptoms of the Diagnostic and Statistical Manual of Mental Disorders, vol.10

P. Charles, B. Giraudeau, A. Dechartres, G. Baron, and P. Ravaud, Reporting of sample size calculation in randomised controlled trials: review. The BMJ, vol.338, 2009.

A. Cipriani, T. A. Furukawa, G. Salanti, A. Chaimani, L. Z. Atkinson et al., J. R, 2018.

, Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis, Lancet, pp.32802-32809, 10128.

A. Cipriani, T. A. Furukawa, G. Salanti, J. R. Geddes, J. P. Higgins et al., Comparative efficacy and acceptability of 12 new-generation antidepressants: a multipletreatments meta-analysis, Lancet, issue.9665, pp.746-758, 2009.

, , pp.60046-60051

B. E. Egbewale, M. Lewis, and J. Sim, Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: a simulation study, BMC Medical Research Methodology, vol.14, p.49, 2014.

J. C. Fournier, R. J. Derubeis, S. D. Hollon, S. Dimidjian, J. D. Amsterdam et al., Antidepressant drug effects and depression severity: a patient-level meta-analysis, JAMA, vol.303, issue.1, pp.47-53, 2010.

R. Freedman, D. A. Lewis, R. Michels, D. S. Pine, S. K. Schultz et al., The initial field trials of DSM-5: new blooms and old thorns, vol.170, pp.1-5, 2013.

E. I. Fried and R. M. Nesse, Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study, Journal of Affective Disorders, vol.172, pp.96-102, 2015.


E. I. Fried, C. D. Van-borkulo, S. Epskamp, R. A. Schoevers, F. Tuerlinckx et al., , 2016.

, Measuring Depression Over Time . . . or not? Lack of Unidimensionality and Longitudinal Measurement Invariance in Four Common Rating Scales of Depression, Psychological Assessment

T. A. Furukawa, A. Cipriani, S. Leucht, L. Z. Atkinson, Y. Ogawa et al., Is placebo response in antidepressant trials rising or not? A reanalysis of datasets to conclude this long-lasting controversy, Evidence-Based Mental Health, vol.21, issue.1, pp.1-3, 2018.

A. J. Gelenberg, M. E. Thase, R. E. Meyer, F. K. Goodwin, M. M. Katz et al., , 2008.

, The History and Current State of Antidepressant Clinical Trial Design: A Call to Action for Proofof-Concept Studies, The Journal of Clinical Psychiatry, vol.69, issue.10, pp.1513-1528

M. Hamilton, A rating scale for depression, Neurosurgery, and Psychiatry, vol.23, pp.56-62, 1960.

F. Hieronymus, J. F. Emilsson, S. Nilsson, and E. Eriksson, Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression, Molecular Psychiatry, vol.21, issue.4, pp.523-530, 2016.

J. P. Ioannidis, Effectiveness of antidepressants: an evidence myth constructed from a thousand randomized trials? Philosophy, Ethics, and Humanities in Medicine, vol.3, 2008.

A. Khan, A. Bhat, R. Kolts, M. E. Thase, and W. Brown, Why Has the Antidepressant-Placebo Difference in Antidepressant Clinical Trials Diminished over the Past Three Decades?, CNS Neuroscience & Therapeutics, vol.16, issue.4, pp.217-226, 2010.

A. Khan, R. L. Kolts, M. E. Thase, K. R. Krishnan, and W. Brown, Research design features and patient characteristics associated with the outcome of antidepressant clinical trials, The American Journal of Psychiatry, vol.161, issue.11, pp.2045-2049, 2004.


A. Khan, K. F. Mar, and W. A. Brown, The conundrum of depression clinical trials: one size does not fit all, International Clinical Psychopharmacology, vol.33, issue.5, pp.239-248, 2018.


A. Khan, N. Redding, and W. A. Brown, The persistence of the placebo response in antidepressant clinical trials, Journal of Psychiatric Research, vol.42, issue.10, pp.791-796, 2008.


A. Khan, K. Schwartz, R. L. Kolts, D. Ridgway, and C. Lineberry, Relationship between depression severity entry criteria and antidepressant clinical trial outcomes, Biological Psychiatry, vol.62, issue.1, pp.65-71, 2007.

I. Kirsch, B. J. Deacon, T. B. Huedo-medina, A. Scoboria, T. J. Moore et al., Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration, PLOS Med, vol.5, issue.2, 2008.

C. Li, Y. Bai, Y. Huang, Y. Chen, T. Chen et al., Association between antidepressant resistance in unipolar depression and subsequent bipolar disorder: cohort study, The British Journal of Psychiatry, vol.200, issue.1, pp.45-51, 2012.


J. Moncrieff, Antidepressants: misnamed and misrepresented, World Psychiatry: Official Journal of the World Psychiatric Association (WPA), vol.14, issue.3, pp.302-303, 2015.

J. Moncrieff and I. Kirsch, Empirically derived criteria cast doubt on the clinical significance of antidepressant-placebo differences, Contemporary Clinical Trials, vol.43, pp.60-62, 2015.


D. Nutt, The Hamilton Depression Scale-accelerator or break on antidepressant drug discovery, Neurosurgery & Psychiatry, vol.85, issue.2, pp.119-120, 2014.

G. Rücker and G. Schwarzer, Presenting simulation results in a nested loop plot, BMC Medical Research Methodology, vol.14, p.129, 2014.

G. Santen, R. Gomeni, M. Danhof, and O. D. Pasqua, Sensitivity of the individual items of the Hamilton depression rating scale to response and its consequences for the assessment of efficacy, Journal of Psychiatric Research, vol.42, issue.12, pp.1000-1009, 2008.


G. Santen, J. Horrigan, M. Danhof, and O. Della-pasqua, From trial and error to trial simulation. Part 2: an appraisal of current beliefs in the design and analysis of clinical trials for antidepressant drugs, Clinical Pharmacology and Therapeutics, vol.86, issue.3, pp.255-262, 2009.


G. Santen, E. Van-zwet, M. Danhof, and O. Della-pasqua, From Trial and Error to Trial Simulation. Part 1: The Importance of Model-Based Drug Development for Antidepressant Drugs, Clinical Pharmacology & Therapeutics, vol.86, issue.3, pp.248-254, 2009.

G. Trajkovi?, V. Star?evi?, M. Latas, M. Le?tarevi?, T. Ille et al., Reliability of the Hamilton Rating Scale for Depression: A meta-analysis over a period of 49 years, Psychiatry Research, vol.189, issue.1, pp.1-9, 2011.

E. H. Turner, A. M. Matthews, E. Linardatos, R. A. Tell, and R. Rosenthal, Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy, New England Journal of Medicine, vol.358, issue.3, pp.252-260, 2008.

J. Twisk and K. Proper, Evaluation of the results of a randomized controlled trial: how to define changes between baseline and follow-up, Journal of Clinical Epidemiology, vol.57, issue.3, pp.223-228, 2004.


D. A. Zarin, T. Tse, R. J. Williams, R. M. Califf, and N. C. Ide, The ClinicalTrials.gov Results Database -Update and Key Issues, The New England journal of medicine, vol.364, issue.9, pp.852-860, 2011.