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1. A computational analysis of flanker interference in depression

3. Dr. McGrath and Colleagues Reply

4. The Texas Medication Algorithm Project: Clinical Results for Schizophrenia

9. Acceptability of second-step treatments to depressed outpatients: a STAR*D report.

10. A comparison of lithium and T3 augmentation following two failed medication treatments for depression: a STAR*D report.

11. Tranylcypromine versus venlafaxine plus mirtazapine following three failed antidepressant medication trials for depression: a STAR*D report.

12. Comparison of self-report and clinician ratings on two inventories of depressive symptomatology.

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

14. Clinical correlates and symptom patterns of anxious depression among patients with major depressive disorder in STAR*D.

21. Dr. McGrath and colleagues reply [2]

23. PMH12Texas Medication Algorithm Project: Feasibility Study of Implementing Medication Algorithms in the Public Mental Health Sector

24. Bupropion and Naltrexone in Methamphetamine Use Disorder.

27. Moderation of buprenorphine therapy for cocaine dependence efficacy by variation of the Prodynorphin gene.

28. Identifying and responding to trial implementation challenges during multisite clinical trials.

29. Age differences in outcomes among patients in the "Stimulant Abuser Groups to Engage in 12-Step" (STAGE-12) intervention.

30. Randomized Controlled Trial Comparing Exercise to Health Education for Stimulant Use Disorder: Results From the CTN-0037 STimulant Reduction Intervention Using Dosed Exercise (STRIDE) Study.

31. Gender-based Outcomes and Acceptability of a Computer-assisted Psychosocial Intervention for Substance Use Disorders.

32. Clinical and sociodemographic characteristics associated with suicidal ideation in depressed outpatients.

33. Release bias in accessing medical records in clinical trials: a STAR*D report.

34. What predicts attrition in second step medication treatments for depression?: a STAR*D Report.

35. Voice response system to measure healthcare costs: a STAR*D report.

36. Identifying risk for attrition during treatment for depression.

37. Income and attrition in the treatment of depression: a STAR*D report.

38. Family history of mood disorder and characteristics of major depressive disorder: a STAR*D (sequenced treatment alternatives to relieve depression) study.

39. What clinical and symptom features and comorbid disorders characterize outpatients with anxious major depressive disorder: a replication and extension.

40. An evaluation of the quick inventory of depressive symptomatology and the hamilton rating scale for depression: a sequenced treatment alternatives to relieve depression trial report.

41. Enrolling research subjects from clinical practice: ethical and procedural issues in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial.

42. Presenting characteristics of depressed outpatients as a function of recurrence: preliminary findings from the STAR*D clinical trial.

43. Clinical and demographic features of atypical depression in outpatients with major depressive disorder: preliminary findings from STAR*D.

44. Comorbid psychiatric disorders in depressed outpatients: demographic and clinical features.

45. Brief psychiatric rating scale expanded version: How do new items affect factor structure?

46. Substance use disorder comorbidity in major depressive disorder: an exploratory analysis of the Sequenced Treatment Alternatives to Relieve Depression cohort.

47. A brief cognitive assessment for use with schizophrenia patients in community clinics.

48. Clinical results for patients with major depressive disorder in the Texas Medication Algorithm Project.

49. One-year clinical outcomes of depressed public sector outpatients: a benchmark for subsequent studies.

50. Methods of testing feasibility for sequenced treatment alternatives to relieve depression (STAR*D).

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