Warren K. Bickel

Affiliations: 
University of Arkansas for Medical Sciences, United States 
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"Warren Bickel"
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Publications

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Deshpande HU, Mellis AM, Lisinski JM, et al. (2019) Reinforcer pathology: Common neural substrates for delay discounting and snack purchasing in prediabetics. Brain and Cognition. 132: 80-88
Epstein LH, Paluch RA, Stein JS, et al. (2019) Role of delay discounting in predicting change in HBA1c for individuals with prediabetes. Journal of Behavioral Medicine
Athamneh LN, DeHart WB, Pope D, et al. (2019) The phenotype of recovery III: Delay discounting predicts abstinence self-efficacy among individuals in recovery from substance use disorders. Psychology of Addictive Behaviors : Journal of the Society of Psychologists in Addictive Behaviors
Bickel WK, Athamneh LN, Basso JC, et al. (2019) Excessive discounting of delayed reinforcers as a trans-disease process: Update on the state of the science. Current Opinion in Psychology. 30: 59-64
DeHart WB, Mellis AM, Kaplan BA, et al. (2019) The Experimental Tobacco Marketplace: Narratives engage cognitive biases to increase electronic cigarette substitution. Drug and Alcohol Dependence. 197: 203-211
Phung QH, Snider SE, Tegge AN, et al. (2019) Willing to work but not to wait: Individuals with greater alcohol use disorder show increased delay discounting across commodities and less effort discounting for alcohol. Alcoholism, Clinical and Experimental Research
Franck CT, Koffarnus MN, McKerchar TL, et al. (2019) An overview of Bayesian reasoning in the analysis of delay-discounting data. Journal of the Experimental Analysis of Behavior
Nighbor TD, Zvorsky I, Kurti AN, et al. (2019) Examining interrelationships between the cigarette purchase task and delay discounting among pregnant women. Journal of the Experimental Analysis of Behavior
Heckman BW, Fong GT, Borland R, et al. (2018) THE IMPACT OF VAPING AND REGULATORY ENVIRONMENT ON CIGARETTE DEMAND: BEHAVIORAL ECONOMIC PERSPECTIVE ACROSS FOUR COUNTRIES. Addiction (Abingdon, England)
Coughlin LN, Tegge AN, Sheffer CE, et al. (2018) A machine-learning approach to predicting smoking cessation treatment outcomes. Nicotine & Tobacco Research : Official Journal of the Society For Research On Nicotine and Tobacco
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