Document Detail

Analytical methods to detect within-individual changes in discounting.
MedLine Citation:
PMID:  20384429     Owner:  NLM     Status:  MEDLINE    
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.
Reid D Landes; Jeffery A Pitcock; Richard Yi; Warren K Bickel
Related Documents :
3963129 - Promise in nonparametrics.
23324329 - A new murine model of stress-induced complex atherosclerotic lesions.
16504059 - Statistical analysis of real-time pcr data.
23171269 - The functional role of the ischiopubic membrane for the mechanical loading of the pubis...
15638189 - Reduction of noise-induced streak artifacts in x-ray computed tomography through spline...
16943459 - Statistics in orthopaedic papers.
21532589 - Improved molecular replacement by density- and energy-guided protein structure optimiza...
19377199 - An efficient virtual dissection tool to create generic models for anatomical atlases.
18992369 - The association between the geographic distribution of triatoma pseudomaculata and tria...
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Experimental and clinical psychopharmacology     Volume:  18     ISSN:  1936-2293     ISO Abbreviation:  Exp Clin Psychopharmacol     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-04-13     Completed Date:  2010-07-01     Revised Date:  2014-08-27    
Medline Journal Info:
Nlm Unique ID:  9419066     Medline TA:  Exp Clin Psychopharmacol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  175-83     Citation Subset:  IM    
Copyright Information:
2010 APA, all rights reserved
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Data Interpretation, Statistical*
Impulsive Behavior / psychology*
Meta-Analysis as Topic
Models, Statistical
Psychometrics / methods*
Research Design
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Subjective effects of transdermal nicotine among nonsmokers.
Next Document:  Psychopharmacology of aggression in children and adolescents with primary neuropsychiatric disorders...