ArticleExperimental and clinical psychopharmacology2013
Analysis of cigarette purchase task instrument data with a left-censored mixed effects model.
Article in Experimental and clinical psychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Behavioral economic tobacco demand in relation to cigarette consumption and nicotine dependence: a meta-analysis of cross-sectional relationships.Addiction (Abingdon, England) · 2019Pooled it
- Effects of Very Low Nicotine Content Cigarette use on Cigarette Reinforcement among Smokers with Serious Mental Illness.Addictive behaviors · 2022Trial
- Increased Levels of the Acrolein Metabolite 3-Hydroxypropyl Mercapturic Acid in the Urine of e-Cigarette Users.Chemical research in toxicology · 2023Article
- Behavioral economic demand modeling chronology, complexities, and considerations: Much ado about zeros.Behavioural processes · 2022Article
- Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction.Perspectives on behavior science · 2021Article
- Behavioral economic measurement of cigarette demand: A descriptive review of published approaches to the cigarette purchase task.Experimental and clinical psychopharmacology · 2020Review
- Behavioral economic demand as a unifying language for addiction science: Promoting collaboration and integration of animal and human models.Experimental and clinical psychopharmacology · 2020Review
- The R packagePerspectives on behavior science · 2019Article
- A Bayesian hierarchical model for demand curve analysis.Statistical methods in medical research · 2018Article
- 21st century neurobehavioral theories of decision making in addiction: Review and evaluation.Pharmacology, biochemistry, and behavior · 2018Review
- Clinical models of decision making in addiction.Pharmacology, biochemistry, and behavior · 2018Review
- A two-part mixed effects model for cigarette purchase task data.Journal of the experimental analysis of behavior · 2016Article
- The behavioral economics of substance use disorders: reinforcement pathologies and their repair.Annual review of clinical psychology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The drug purchase task is a frequently used instrument for measuring the relative reinforcing efficacy (RRE) of a substance, a central concept in psychopharmacological research. Although a purchase task instrument, such as the cigarette purchase task (CPT), provides a comprehensive and inexpensive way to assess various aspects of a drug's RRE, the application of conventional statistical methods to data generated from such an instrument may not be adequate by simply ignoring or replacing the extra zeros or missing values in the data with arbitrary small consumption values, for example, 0.001. We applied the left-censored mixed effects model to CPT data from a smoking cessation study of college students and demonstrated its superiority over the existing methods with simulation studies. Theoretical implications of the findings, limitations of the proposed method, and future directions of research are also discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.