Evidence map›Paper›PMID 26280591›Full record

ArticleExperimental and clinical psychopharmacology2015

A modified exponential behavioral economic demand model to better describe consumption data.

Mikhail N Koffarnus, Christopher T Franck, Jeffrey S Stein, Warren K Bickel

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 215 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
215citing papers in PubMed, 6 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

215 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  17. Effects of Reduced-Nicotine Cigarettes Across Regulatory Environments in the Experimental Tobacco Marketplace: A Randomized Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
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  20. The Impact of E-liquid Propylene Glycol and Vegetable Glycerin Ratio on Ratings of Subjective Effects, Reinforcement Value, and Use in Current Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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155 more citing papers are in PubMed but not listed here.

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

4 authors.

Mikhail N KoffarnusVirginia Tech Carilion Research Institute, Virginia Tech.
Christopher T FranckVirginia Tech Carilion Research Institute, Virginia Tech.
Jeffrey S SteinVirginia Tech Carilion Research Institute, Virginia Tech.
Warren K BickelVirginia Tech Carilion Research Institute, Virginia Tech.

Funding

Tobacco Constituent and Biomarker Assessment CoreU19CA157345 · NCI · UNIVERSITY OF MINNESOTA · PI HATSUKAMI, DOROTHY K, SHIELDS, PETER G. · 2012 to 2016
$13.3M
NCI NIH HHS U19 CA157345NCI NIH HHS U19 CA15734502
6 · The paper itself

Abstract

Behavioral economic demand analyses that quantify the relationship between the consumption of a commodity and its price have proven useful in studying the reinforcing efficacy of many commodities, including drugs of abuse. An exponential equation proposed by Hursh and Silberberg (2008) has proven useful in quantifying the dissociable components of demand intensity and demand elasticity, but is limited as an analysis technique by the inability to correctly analyze consumption values of zero. We examined an exponentiated version of this equation that retains all the beneficial features of the original Hursh and Silberberg equation, but can accommodate consumption values of zero and improves its fit to the data. In Experiment 1, we compared the modified equation with the unmodified equation under different treatments of zero values in cigarette consumption data collected online from 272 participants. We found that the unmodified equation produces different results depending on how zeros are treated, while the exponentiated version incorporates zeros into the analysis, accounts for more variance, and is better able to estimate actual unconstrained consumption as reported by participants. In Experiment 2, we simulated 1,000 datasets with demand parameters known a priori and compared the equation fits. Results indicated that the exponentiated equation was better able to replicate the true values from which the test data were simulated. We conclude that an exponentiated version of the Hursh and Silberberg equation provides better fits to the data, is able to fit all consumption values including zero, and more accurately produces true parameter values.

Indexed as

Economics, BehavioralModels, TheoreticalReinforcement, PsychologyTobacco ProductsHumansSmoking

Identifiers

PMID26280591
PMCPMC4854291

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.