Comments on Mattick et al.: The need for independent data re-analyses [1]

Addiction

Volumn 98, Issue 11, 2003, Pages 1633-1634

  Caplehorn, John ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BUPRENORPHINE; DIAMORPHINE; METHADONE;

CLINICAL RESEARCH; CLINICAL STUDY; CLINICAL TRIAL; HEROIN DEPENDENCE; HUMAN; LETTER; MAINTENANCE THERAPY; METHADONE TREATMENT; REGRESSION ANALYSIS; SAMPLE; STATISTICAL ANALYSIS; URINALYSIS;

BUPRENORPHINE; CLINICAL TRIALS; HUMANS; METHADONE; NARCOTICS; OPIOID-RELATED DISORDERS; REGRESSION ANALYSIS;

EID: 0242593823     PISSN: 09652140     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1360-0443.2003.00547.x     Document Type: Letter

References (5)

1. Mattick, R. P., Ali, R., White, J. M., O'Brien, S., Wolk, S. & Danz, C. (2003) Buprenorphine versus methadone maintenance therapy: a randomized double-blind trial with 405 opioid-dependent patients. Addiction, 98, 441-452.
2. Cox, D. R. (1972) Regression models and life-tables. Journal of the Royal Statisical Society of London B, 34, 187-202.
3. Kleinbaum, D. G. (1996) Survival analysis: a self-learning text. New York: Springer.
4. Jüni, P., Altman, D. G. & Egger, M. (2001) Assessing the quality of randomised controlled trials. In: Egger, M., Smith, G. D. & Altman, D. G., eds. Systematic Reviews in Health Care: Meta-Analysis in Context, 2nd edn, pp. 91. London: BMJ Books.
5. Zeger, S. L. & Liang, K. Y. (1986) Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 42, 121-130.