Drug and Alcohol Dependence
Volume 88 , Pages S52-S60 , May 2007

Constructing evidence-based treatment strategies using methods from computer science

  • Joelle Pineau

      Affiliations

    • McGill University, School of Computer Science, 318 McConnell Eng., 3480 University St., Montreal, Que. H3A 2A7, Canada
    • Corresponding Author InformationCorresponding author at: School of Computer Science, McGill University, McConnell Eng Bldg Rm 318, 3480 University, Montreal, Que. H3A 2A7, Canada. Tel.: +1 514 398 5432; fax: +1 514 398 3883.
  • ,
  • Marc G. Bellemare

      Affiliations

    • McGill University, School of Computer Science, 318 McConnell Eng., 3480 University St., Montreal, Que. H3A 2A7, Canada
  • ,
  • A. John Rush

      Affiliations

    • University of Texas, Southwestern Medical Center, 323 Harry Hines Blvd, Dallas, TX 75390, USA
  • ,
  • Adrian Ghizaru

      Affiliations

    • McGill University, School of Computer Science, 318 McConnell Eng., 3480 University St., Montreal, Que. H3A 2A7, Canada
  • ,
  • Susan A. Murphy

      Affiliations

    • University of Michigan, Institute for Social Research, 426 Thompson St., Ann Arbor, MI 48106, USA

Received 12 April 2006 ,Revised 15 January 2007 ,Accepted 16 January 2007.

References 

  1. Bellman R. Dynamic Programming. Princeton, NJ: Princeton University Press; 1957;
  2. Collins LM, Murphy SA, Bierman KL. A conceptual framework for adaptive preventive interventions. Prev. Sci. 2004;5(3):185–196
  3. Fava M, Rush AJ, Trivedi MH, Nierenberg AA, Thase ME, Sackeim HA, et al. Background and rationale for the sequenced treatment alternatives to relieve depression (STAR*D) study. Psychiatr. Clin. North Am. 2003;26(2):457–494
  4. Froberg DG, Kane RL. Methodology for measuring health-state preferences. II. Scaling methods. J. Clin. Epidemiol. 1989;42(5):459–471
  5. Hardle W. Applied Nonparametric Regression. Cambridge: Cambridge University Press; 1990;
  6. Lavori PW, Dawson R. Developing and comparing treatment strategies: an annotated portfolio of designs. Psychopharmacol. Bull. 1998;34(1):13–18
  7. Lavori PW, Dawson R. Dynamic treatment regimes: practical design considerations. Clin. Trials. 2003;1(1):9–20
  8. Lavori PW, Dawson R, Rush AJ. Flexible treatment strategies in chronic disease: clinical and research implications. Biol. Psychiatry. 2000;48(6):605–614
  9. Linn BS, Linn MW, Gurel L. Cumulative illness rating scale. J. Am. Geriatr. Soc. 1968;16(5):622–626
  10. Miller MD, Paradis CF, Houck PR, Mazumdar S, Stack JA, Rifai AH, et al. III. Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale. Psychiatry Res. 1992;41(3):237–248
  11. Murphy SA. Optimal dynamic treatment regimes. J. R. Stat. Soc. Ser. B. 2003;65(2):331–366(with discussion)
  12. Murphy SA. An experimental design for the development of adaptive treatment strategies. Stat. Med. 2005;24:1455–1481
  13. Murphy SA, Lynch KG, McKay JR, Oslin DW, Ten Have TR. Developing adaptive treatment strategies in substance abuse research. Drug Alcohol Depend. 88S2. 2007;S24–S30
  14. Murphy, S.A., McKay, J.R., 2004. Adaptive treatment strategies: an emerging approach for improving treatment effectiveness. Clin. Sci., Winter 2003/Spring 2004 (Newsletter of the American Psychological Association Division 12, Section III: The Society for the Science of Clinical Psychology).
  15. Murphy SA, Oslin D, Rush AJ, Zhu J for MCATS. Methodological challenges in constructing effective treatment sequences for chronic disorders. Neuropsychopharmacology. 2007;32:257–262
  16. Ormoneit D, Sen S. Kernel based reinforcement learning. Mach. Learn. 2002;49:161–178
  17. Oslin DW, Sayers S, Ross J, Kane V, Ten Have T, Conigliaro J, et al. Disease management for depression and at-risk drinking via telephone in an older population of veterans. Psychosom. Med. 2003;65(6):931–937
  18. Parmigiani G. Modeling in Medical Decision Making: A Bayesian Approach. New York: John Wiley & Sons; 2002;
  19. Robins JM. Optimal structural nested models for optimal sequential decisions. In:  Lin DY,  Haegerty P editor. Proceedings of the Second Seattle Symposium on Biostatistics. New York: Springer-Verlag; 2004;p. 189–326
  20. Rosenheck R, Stroup S, Keefe SE, McEvoy J, Swartz M, Perkins D, et al. Measuring outcome priorities and preferences in people with schizophrenia. Br. J. Psychiatry. 2005;187:529–536
  21. Rush AJ, Carmody TJ, Reimitz PE. The inventory of depressive symptomatology (IDS): clinician (IDS-C) and self-report (IDS-SR) ratings of depressive symptoms. Int. J. Meth. Psychiatr. Res. 2000;945–959
  22. Rush AJ, Fava M, Wisniewski SR, Lavori PW, Trivedi MH, Sackeim HA, et al. Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design. Contr. Clin. Trials. 2004;25(1):119–142
  23. Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH. The inventory of depressive symptomatology (IDS): psychometric properties. Psychol. Med. 1996;26(3):477–486
  24. Rush AJ, Trivedi MH, Ibrahim HM, Carmody TJ, Arnow B, Klein DN, et al. 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. Biol. Psychiatry. 2003;54(5):573–583, 585 (Erratum)
  25. Schneider LS, Tariot PN, Lyketsos CG, Dagerman KS, Davis KL, Davis S, et al. National institute of mental health clinical antipsychotic trials of intervention effectiveness (CATIE): Alzheimer disease trial methodology. Am. J. Geriatr. Psychiatry. 2001;9(4):346–360
  26. Stone RM, Berg DT, George SL, Dodge RK, Paciucci PA, Schulman P, et al. Granulocyte–macrophage colony-stimulating factor after initial chemotherapy for elderly patients with primary acute myelogenous leukemia. N. Engl. J. Med. 1995;332:1671–1677
  27. Stroup TS, McEvoy JP, Swartz MS, Byerly MJ, Glick ID, Canive JM, et al. National institute of mental health clinical antipsychotic trials of intervention effectiveness (CATIE): schizophrenia trial design and protocol development. Schizophr. Bull. 2003;29:15–31
  28. Sutton R, Barto A. Reinforcement Learning: An Introduction. Cambridge: MIT Press; 1998;
  29. Trivedi MH, Rush AJ, Ibrahim HM, Carmody TJ, Biggs MM, Suppes T, et al. The inventory of depressive symptomatology, clinician rating (IDS-C) and self-report (IDS-SR), and the quick inventory of depressive symptomatology. clinician rating (QIDS-C) and self-report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation. Psychol. Med. 2004;34(1):73–82
  30. Tummarello D, Mari D, Granziano F, Isidori P, Cetto G, Pasini F, et al. A randomized, controlled, phase III study of cyclophosphamide, doxorubicin and vincristine with etoposide (CAV-E) or teniposide (CAV-T), followed by recombinant interferon-α maintenance therapy or observation, in small cell lung carcinoma patients with compete responses. Cancer. 1997;80:2222–2229
  31. Wisniewski SR, Rush AJ, Balasubramani GK, Trivedi MH, Nierenberg AA for the STAR*D Investigators. Self-rated global measure of the frequency, intensity, and burden of side effects. J. Psychiatr. Pract. 2006;12:71–79

PII: S0376-8716(07)00027-0

doi: 10.1016/j.drugalcdep.2007.01.005

Drug and Alcohol Dependence
Volume 88 , Pages S52-S60 , May 2007