| Analytical methods to detect within-individual changes in discounting. | |
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MedLine Citation:
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PMID: 20384429 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Discounting, as a quantifiable measure of impulsivity, is often estimated within individuals via nonlinear regression. Here, we describe how to directly estimate within-individual change of the discounting parameter between 2 conditions and subsequently statistically test for that change using the discounting data from a single individual. To date, there has been no systematic description of how to conduct such an analysis. Employing the method allows investigators and clinicians to evaluate whether a single individual has statistically changed the way he or she discounts between 2 conditions (e.g., in the absence or presence of a pharmacologic, different time points, different rewards, etc.). We further describe a meta-analytic approach for combining estimated changes in discounting from individuals in a sample to make population inference. By providing more precise population estimates, this approach increases statistical power over traditional analytic methods. |
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Authors:
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Reid D Landes; Jeffery A Pitcock; Richard Yi; Warren K Bickel |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
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Title: Experimental and clinical psychopharmacology Volume: 18 ISSN: 1936-2293 ISO Abbreviation: Exp Clin Psychopharmacol Publication Date: 2010 Apr |
Date Detail:
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Created Date: 2010-04-13 Completed Date: 2010-07-01 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9419066 Medline TA: Exp Clin Psychopharmacol Country: United States |
Other Details:
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Languages: eng Pagination: 175-83 Citation Subset: IM |
Copyright Information:
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2010 APA, all rights reserved |
Affiliation:
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Department of Biostatistics, University of Arkansas for Medical Sciences, USA. rdlandes@uams.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Data Interpretation, Statistical* Humans Impulsive Behavior / psychology* Individuality* Meta-Analysis as Topic Models, Statistical Psychometrics / methods* Research Design |
| Grant Support | |
ID/Acronym/Agency:
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R01 DA11692/DA/NIDA NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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