Power of automated algorithms for combining time-line follow-back and urine drug screening test results in stimulant-abuse clinical trials

American Journal of Drug and Alcohol Abuse

Volumn 37, Issue 5, 2011, Pages 350-357

  Oden, Neal L ^a   Vanveldhuisen, Paul C ^a   Wakim, Paul G ^b   Trivedi, Madhukar H ^c   Somoza, Eugene ^d   Lewis, Daniel ^d  

^a EMMES CORPORATION   (United States)

^b NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

^c UNIVERSITY OF TEXAS AT DALLAS   (United States)

^d UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Clinical trial; Stimulant abuse; TLFB; UDS

Indexed keywords

CENTRAL STIMULANT AGENT;

ALGORITHM; ARTICLE; BAYES THEOREM; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; DRUG USE; HUMAN; MAXIMUM LIKELIHOOD METHOD; MEASUREMENT ERROR; MONTE CARLO METHOD; QUALITATIVE ANALYSIS; RELIABILITY; SELF REPORT; SUBSTANCE ABUSE; TIME LINE FOLLOW BACK; URINALYSIS; URINE DRUG SCREEN;

ALGORITHMS; AUTOMATION; BAYES THEOREM; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; MONTE CARLO METHOD; SUBSTANCE ABUSE DETECTION; SUBSTANCE-RELATED DISORDERS;

EID: 80052231381     PISSN: 00952990     EISSN: 10979891     Source Type: Journal    
DOI: 10.3109/00952990.2011.601777     Document Type: Article

References (11)

1. Sobell LC, Sobell MB. Timeline followback: A technique for assessing self-reported alcohol consumption. In Measuring Alcohol Consumption: Psychosocial and Biological Methods. Litten RZ, Allen J, eds. Totowa, NJ: Humana Press, 1992; 41-72.
2. Fals-Stewart W, OFarrell TJ, Freitas TT, McFarlin SKY, Rutigliano P. The timeline followback reports of psychoactive substance abuse by drug-abusing patients: Psychometric properties. J Consult Clin Psychol 2000; 68(1): 134-144. (Pubitemid 30120958)
3. Li S-H, Chiang CN, Tai BC, Marschke CK, Hawks RL. Quantitative versus qualitative urinalysis of benzoylecgonine in clinical trials for the assessment of cocaine use. Psychopharmacol Bull 1995; 31:671-679. (Pubitemid 26091734)
4. Li SH, Chiang N, Tai B, Marschke CK, Hawks RL. Is quantitative urinalysis more sensitive? In Medication Development for the Treatment of Cocaine Dependence: Issues in Clinical Efficacy Trials. Tai B, Chiang N, Bridge P, eds. NIDA Research Monograph 175, NTIS PB 98116213. Washington, DC: US Dept of Health and Human Services, 1997; 265-286.
5. Batki SL, Manfredi LB, Jacob P, Jones RT. Fluoxetine for cocaine dependence in methadone maintenance: Quantitative plasma and urine cocaine/benzoylecgonine concentrations. J Clin Psychopharmacol 1993; 13:243-250. (Pubitemid 23265162)
6. Preston KL, Silverman K, Schuster CR, Cone EJ. Assessment of cocaine use with quantitative urinalysis and estimation of new uses. Addiction 1997; 92:717-727. (Pubitemid 27267801)
7. Winhusen T, Somoza E, Sarid-Segal O, Goldsmith RJ, Harrer JM, Coleman FS, Kahn R, Osman S, Mezinskis J, Li SH, Lewis D, Afshar M, Ciraulo DA, Horn P, Montgomery MA, and Elkashef A. A double-blind, placebo-controlled trial of reserpine for the treatment of cocaine dependence. Drug Alcohol Depend 2007; 91(2-3):205-212. (Pubitemid 47554602)
8. Winhusen T, Somoza E, Sarid-Segal O, Goldsmith RJ, Harrer JM, Coleman FS, Kahn R, Osman S, Mezinkis J, Li S-H, Lewis D, Afdshar M, Ciraulo DA, Horn P, Montgomery MA, Elkashef A. A double-blind, placebo-controlled trial of tiagabine for the treatment of cocaine dependence. Drug Alcohol Depend 2007; 91(2-3):141-148. (Pubitemid 47554604)
9. Rubin DB. Inference and missing data. Biometrika 1976; 63(3):581-592.
10. Little RJA, Rubin DB. Statistical Analysis with Missing Data (2nd ed.). Hoboken, NJ: John Wiley and Sons, 2002
11. Molenberghs G, Kenward MG. Missing Data in Clinical Studies. West Sussex, UK: John Wiley and Sons, 2008.