Do outcomes of clinical trials resemble those of “real world” patients? A reanalysis of the STAR*D antidepressant data set.

Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice

Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., Norquist, G., Howland, R. H., Lebowitz, B., McGrath, P. J., et al. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.28 · Cited by 3,879 · see citing works

The 16-item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression

Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829 · see citing works

On the practice of dichotomization of quantitative variables.

MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.19 · Cited by 3,538 · see citing works

The cost of dichotomising continuous variables

Altman, D. G., & Royston, P. (2006) · BMJ · doi:10.1136/bmj.332.7549.1080 · Cited by 2,688 · see citing works

Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration

Kirsch, I., Deacon, B. J., Huedo-Medina, T. B., Scoboria, A., Moore, T. J., & Johnson, B. T. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050045 · Cited by 2,442 · see citing works

The Cost of Dichotomization

Cohen, J. (1983) · Applied Psychological Measurement · doi:10.1177/014662168300700301 · Cited by 1,564 · see citing works

Sequenced treatment alternatives to relieve depression (STAR*D): Rationale and design

Rush, A. J., Fava, M., Wisniewski, S. R., Lavori, P. W., Trivedi, M. H., Sackeim, H. A., Thase, M. E., Nierenberg, A. A., Quitkin, F. M., Kashner, T. M., et al. (2004) · Controlled Clinical Trials · doi:10.1016/s0197-2456(03)00112-0 · Cited by 1,076 · see citing works

Comparative Benefits and Harms of Second-Generation Antidepressants for Treating Major Depressive Disorder: An Updated Meta-analysis

Gartlehner, G., Hansen, R. A., Morgan, L. C., Thaler, K., Lux, L., Van Noord, M., Mager, U., Thieda, P., Gaynes, B. N., Wilkins, T., et al. (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-155-11-201112060-00009 · Cited by 355 · see citing works

Efficacy and effectiveness of antidepressants: current status of research

Pigott, H. E., Leventhal, A. M., Alter, G. S., & Boren, J. J. (2010) · Psychotherapy and Psychosomatics · doi:10.1159/000318293 · Cited by 347 · see citing works

Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses

Austin, P. C., & Brunner, L. J. (2004) · Statistics in Medicine · doi:10.1002/sim.1687 · Cited by 240 · see citing works

Can Phase III Trial Results of Antidepressant Medications Be Generalized to Clinical Practice? A STAR*D Report

Wisniewski, S. R., Rush, A. J., Nierenberg, A. A., Gaynes, B. N., Warden, D., Luther, J. F., McGrath, P. J., Lavori, P. W., Thase, M. E., Fava, M., et al. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08071027 · Cited by 223 · see citing works

What does the HAMD mean?

Leucht, S., Fennema, H., Engel, R., Kaspers–Janssen, M., Lepping, P., & Szegedi, A. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.12.001 · Cited by 211 · see citing works

The efficacy of exercise in reducing depressive symptoms among cancer survivors: a meta-analysis

Brown, J. C., Huedo-Medina, T. B., Pescatello, L. S., Ryan, S. M., Pescatello, S. M., Moker, E., LaCroix, J. M., Ferrer, R. A., & Johnson, B. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030955 · Cited by 201 · see citing works

Does Inclusion of a Placebo Arm Influence Response to Active Antidepressant Treatment in Randomized Controlled Trials?

Sinyor, M., LEVITT, A. J., Cheung, A. H., Schaffer, A., Kiss, A., Dowlati, Y., & Lanctôt, K. L. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.08r04516blu · Cited by 189 · see citing works

Does Study Design Influence Outcome?

Rutherford, B. R., Sneed, J. R., & Roose, S. P. (2009) · Psychotherapy and Psychosomatics · doi:10.1159/000209348 · Cited by 160 · see citing works

Short-Term Dynamic Psychotherapy Versus Pharmacotherapy for Major Depressive Disorder: A Randomized, Placebo-Controlled Trial

Barber, J. P., Barrett, M. S., Gallop, R., Rynn, M. A., & Rickels, K. (2012) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.11m06831 · Cited by 157 · see citing works

Efficacy and Acceptability of Pharmacological Treatments for Depressive Disorders in Primary Care: Systematic Review and Network Meta-Analysis

Linde, K., Kriston, L., Rücker, G., Jamil, S., Schumann, I., Meißner, K., Sigterman, K. E., & Schneider, A. (2015) · The Annals of Family Medicine · doi:10.1370/afm.1687 · Cited by 152 · see citing works

Empirically derived criteria cast doubt on the clinical significance of antidepressant-placebo differences

Moncrieff, J., & Kirsch, I. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.05.005 · Cited by 145 · see citing works

Design Makes a Difference: A Meta-Analysis of Antidepressant Response Rates in Placebo-Controlled Versus Comparator Trials in Late-Life Depression

Sneed, J. R., Rutherford, B. R., Rindskopf, D., Lane, D. T., Sackeim, H. A., & Roose, S. P. (2008) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181256b1d · Cited by 140 · see citing works

Self-Reported Depressive Symptom Measures: Sensitivity to Detecting Change in a Randomized, Controlled Trial of Chronically Depressed, Nonpsychotic Outpatients

Rush, A. J., Trivedi, M. H., Carmody, T. J., Ibrahim, H. M., Markowitz, J. C., Keitner, G. I., Kornstein, S. G., Arnow, B. A., Klein, D. N., Manber, R., et al. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300614 · Cited by 135 · see citing works

Clinical trials and the response rate illusion

Kirsch, I., & Moncrieff, J. (2007) · Contemporary Clinical Trials · doi:10.1016/j.cct.2006.10.012 · Cited by 80 · see citing works

Depicting estimates using the intercept in meta‐regression models: The moving constant technique

Johnson, B. T., & Huedo-Medina, T. B. (2011) · Research Synthesis Methods · doi:10.1002/jrsm.49 · Cited by 47 · see citing works

STAR*D: A Tale and Trail of Bias

Pigott, H. E. (2011) · Ethical Human Psychology and Psychiatry · doi:10.1891/1559-4343.13.1.6 · Cited by 32 · see citing works

Does differential drop-out explain the influence of study design on antidepressant response? A meta-analysis

Rutherford, B. R., Sneed, J. R., & Roose, S. P. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.01.031 · Cited by 13 · see citing works

Should antidepressants be used for major depressive disorder?

Jakobsen, J. C., Gluud, C., & Kirsch, I. (2020) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2019-111238 · Cited by 162 · see citing works

What Are the Treatment Remission, Response and Extent of Improvement Rates After up to Four Trials of Antidepressant Therapies in Real-World Depressed Patients? A Reanalysis of the STAR*D Study’s Patient-Level Data with Fidelity to the Original Research Protocol

Pigott, H. E., Kim, T., Xu, C., Kirsch, I., & Amsterdam, J. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-063095 · Cited by 93 · see citing works

Psychotherapeutic treatments for depression in older adults

Ang, L., Lee, M. S., Song, E., Lee, H. W., Cao, L., Zhang, J., Wang, Q., Jung, J., Jang, S., Gastaldon, C., et al. (2024) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd015976

Antiassociative GroupoidsPreprint

Braitt, M., Hobby, D., & Silberger, D. M. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.7501

Star-Shapedness of \({\mathcal N}\)-Structures in Euclidean Spaces

Lee, K., Song, S.-Z., & Jun, Y. B. (2020) · Axioms · doi:10.3390/axioms9030107

Benchmark data set with service programs to approximately solve the set covering problem

Iwamura, K., Horiike, M., & Matsuzawa, M. (2005) · Journal of Interdisciplinary Mathematics · doi:10.1080/09720502.2005.10700420

Multi-Labeled Data Expressed By A Set Of Labels

Furukawa, T., & Kuzunishi, M. (2010) · QIR (Kyushu University Institutional Repository) (Kyushu University) · doi:10.5281/zenodo.1070564

Answering Research Questions Using an Existing Data Set

Doolan, D. M., Winters, J. G., & Nouredini, S. (2017) · Medical Research Archives · Cited by 14 · see citing works