Research article summary (published 30 Dec 2002):

Utility of a dynamic termination criterion in the ZEST adaptive threshold method.

Full Abstract

Bayesian adaptive threshold procedures may be run for a fixed number of trials, or may be stopped when the calculated confidence interval for the threshold reaches a selected limit (a dynamic termination criterion). This study used Monte-Carlo simulations to determine whether the confidence interval is a useful predictor of errors in the estimated threshold. No difference was found between the distribution of errors in a fixed trial procedure versus a dynamically terminated procedure of the same average number of trials. In addition, the width of the confidence interval failed to usefully predict observer variability arising from a shallow psychometric function slope or increased false positive response probabilities. This study suggests that dynamic termination criteria are of little use in Bayesian adaptive threshold procedures.

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Author information

Author/s: Anderson, Andrew J (AJ);

Affiliation: Discoveries in Sight, Devers Eye Institute, 1225 NE Second Avenue, Portland, OR 97232, USA. ajanderson(-atsign-)hotmail.com

Journal and publication information

Publication Type: Journal Article

Journal: Vision research (Vision Res), published in England. (Language: eng)

Reference: 2003-Jan; vol 43 (issue 2) : pp 165-70

Dates: Created 2003/01/21; Completed 2003/04/07; Revised 2004/11/17;

PMID: 12536138, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adaptation, Physiological - physiology Bayes Theorem Contrast Sensitivity - physiology Humans Monte Carlo Method

Monte Carlo Method Psychometrics Psychophysics Sensory Thresholds - physiology Visual Perception - physiology

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