Evidence map›Paper›PMID 27870106›Full record

ArticleJournal of the experimental analysis of behavior2016

A two-part mixed effects model for cigarette purchase task data.

Tingting Zhao, Xianghua Luo, Haitao Chu, Chap T Le, Leonard H Epstein, Janet L Thomas

Abstract read
In one paragraph

Article in Journal of the experimental analysis of behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. Review
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  12. The R packagePerspectives on behavior science · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tingting ZhaoDivision of Biostatistics, School of Public Health, University of Minnesota.
Xianghua LuoDivision of Biostatistics, School of Public Health, University of Minnesota.
Haitao ChuDivision of Biostatistics, School of Public Health, University of Minnesota.
Chap T LeDivision of Biostatistics, School of Public Health, University of Minnesota.
Leonard H EpsteinDepartment of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo.
Janet L ThomasDivision of General Internal Medicine, Department of Medicine, University of Minnesota.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Tobacco Constituent and Biomarker Assessment CoreU19CA157345 · NCI · UNIVERSITY OF MINNESOTA · PI HATSUKAMI, DOROTHY K · 2012 to 2016
$13.3M
Enhancing Quit and Win Contests to Improve Cessation Among College SmokersR01HL094183 · NHLBI · UNIVERSITY OF MINNESOTA · PI THOMAS, JANET L · 2009 to 2013
$3.7M
NCATS NIH HHS UL1 TR000114NCI NIH HHS U19 CA157345NHLBI NIH HHS R01 HL094183
6 · The paper itself

Abstract

The Cigarette Purchase Task is a behavioral economic assessment tool designed to measure the relative reinforcing efficacy of cigarette smoking across different prices. An exponential demand equation has become a standard model for analyzing purchase task data, but its utility is compromised by its inability to accommodate values of zero consumption. We propose a two-part mixed effects model that keeps the same exponential demand equation for modeling nonzero consumption values, while providing a logistic regression for the binary outcome of zero versus nonzero consumption. Therefore, the proposed model can accommodate zero consumption values and retain the features of the exponential demand equation at the same time. As a byproduct, the logistic regression component of the proposed model provides a new demand index, the "derived breakpoint", for the price above which a subject is more likely to be abstinent than to be smoking. We apply the proposed model to data collected at baseline from college students (N = 1,217) enrolled in a randomized clinical trial utilizing financial incentives to motivate tobacco cessation. Monte Carlo simulations showed that the proposed model provides better fits than an existing model. We note that the proposed methodology is applicable to other purchase task data, for example, drugs of abuse.

Indexed as

Economics, BehavioralSmokingTobacco ProductsCommerceFemaleHumansMaleModels, PsychologicalMotivationRandomized Controlled Trials as TopicYoung Adultcigarette purchase taskdemand curvemixed effects modelnonlinear regressionsemicontinuous data

Identifiers

PMID27870106
PMCPMC5152580

What OpenQuestion holds

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Registered trials

None linked

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.