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The American Journal of Drug and Alcohol Abuse
Encompassing All Addictive Disorders
Volume 41, 2015 - Issue 6
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Commentary

Improving the analysis and modeling of substance use

David A. GorelickDepartment of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, Correspondence[email protected]
, MD, PhD &
Sterling McPhersonProgram of Excellence in Addictions Research, Washington State University, Spokane, WA, and ;Providence Medical Research Center, Providence Sacred Heart Medical Center, Spokane, WA, USA
, PhD
Pages 475-478 | Published online: 25 Sep 2015

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T. Michael Kashner, Steven S. Henley, Richard M. Golden & Xiao-Hua Zhou. (2020) Making causal inferences about treatment effect sizes from observational datasets. Biostatistics & Epidemiology 4:1, pages 48-83.
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Steven S. Henley, Richard M. Golden & T. Michael Kashner. (2020) Statistical modeling methods: challenges and strategies. Biostatistics & Epidemiology 4:1, pages 105-139.
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Articles from other publishers (3)

Christopher P. King & Paul J. Meyer. 2022. Behavioral Pharmacology of Drug Abuse: Current Status. Behavioral Pharmacology of Drug Abuse: Current Status 171 218 .
Brian Pittman, Eugenia Buta, Suchitra Krishnan-Sarin, Stephanie S O’Malley, Thomas Liss & Ralitza Gueorguieva. (2020) Models for Analyzing Zero-Inflated and Overdispersed Count Data: An Application to Cigarette and Marijuana Use. Nicotine & Tobacco Research 22:8, pages 1390-1398.
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Stéphanie Baggio, Katia Iglesias & Valentin Rousson. (2018) Modeling count data in the addiction field: Some simple recommendations. International Journal of Methods in Psychiatric Research 27:1, pages e1585.
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