A Bayesian model for estimating the effects of drug use when drug use may be under-reported

Addiction

Volumn 104, Issue 11, 2009, Pages 1820-1826

  McMillan, Garnett P ^a   Bedrick, Edward ^b   C'Debaca, Janet ^a  

^a PACIFIC INSTITUTE FOR RESEARCH AND EVALUATION   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

Adolescent drug use; Bayesian methods; Cocaine use; Criminal justice; Measurement error; Recidivism; Self report; Under reporting

Indexed keywords

COCAINE;

ADOLESCENT; ADULT; ARTICLE; BAYES THEOREM; CRIME; DRUG USE; EFFECT SIZE; HUMAN; JUVENILE; MEASUREMENT ERROR; METHODOLOGY; OUTCOME ASSESSMENT; PREVALENCE; PROBATION; PROSPECTIVE STUDY; RECURRENCE RISK; RISK; SELF REPORT; SENSITIVITY ANALYSIS; STATISTICAL MODEL; SUBSTANCE ABUSE;

ADOLESCENT; BAYES THEOREM; COCAINE-RELATED DISORDERS; DATA COLLECTION; HUMANS; PREVALENCE; PRISONS; PROSPECTIVE STUDIES; RISK FACTORS; SELF DISCLOSURE; TIME FACTORS; YOUNG ADULT;

EID: 70349863202     PISSN: 09652140     EISSN: 13600443     Source Type: Journal    
DOI: 10.1111/j.1360-0443.2009.02644.x     Document Type: Article

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