Stereotyping and the treatment of missing data for drug and alcohol clinical trials

Substance Abuse: Treatment, Prevention, and Policy

Volumn 4, Issue , 2009, Pages

  Arndt, Stephan ^a,b,c  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c Iowa Consortium for Substance Abuse Research and Evaluation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDICTION; CLINICAL TRIAL; EDITORIAL; EPIDEMIOLOGY; HUMAN; METHODOLOGY; PATIENT; SOCIAL PSYCHOLOGY; STATISTICAL ANALYSIS; STATISTICS;

CLINICAL TRIALS AS TOPIC; DATA INTERPRETATION, STATISTICAL; HUMANS; PATIENT DROPOUTS; PREJUDICE; RESEARCH DESIGN; SELECTION BIAS; STEREOTYPING; SUBSTANCE-RELATED DISORDERS;

EID: 61849092030     PISSN: None     EISSN: 1747597X     Source Type: Journal    
DOI: 10.1186/1747-597X-4-2     Document Type: Editorial

References (7)

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2. Figueredo AJ Mcknight PE Mcknight KM Sidani S Multivariate modeling of missing data within and across assessment waves Addiction 2000, 95:S361-S380. 11132363
3. Little R Yau L Intent-to-treat analysis for longitudinal studies with drop-outs Biometrics 1996, 52:1324-1333. 10.2307/2532847 8962456
4. Hedden S Woolson R Malcolm R A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: A Monte-Carlo simulation study Subst Abuse Treat Prev Policy 2008, 3:13. 2441613 18522752 10.1186/1747-597X-3-13
5. Little RJA Rubin DB Statistical Analysis with Missing Data New York: John Wiley & Sons 1987.
6. Rubin DR Multiple Imputation for Nonresponse in Surveys New York: John Wiley & Sons 1987.
7. Schafer JL Analysis of Incomplete Multivariate Data New York: Chapman & Hall 1997.