ArticleTranslational vision science & technology2021
Effects of Criterion Bias on Perimetric Sensitivity and Response Variability in Glaucoma.
Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- How "Micro" Is Microperimetry? Characterizing the Effect of Fundus Tracking on the Psychometric Function.Investigative ophthalmology & visual science · 2026Article
- Frequency-of-seeing curves (psychometric functions) for perimetric stimuli in age-related macular degeneration.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Luminance and thresholding limitations of virtual reality headsets for visual field testing.PloS one · 2025Article
- Suprathreshold Approaches to Mapping the Visual Field in Advanced Glaucoma.Translational vision science & technology · 2023Article
- Spatiotemporal summation of perimetric stimuli in healthy observers.Journal of vision · 2023Article
- Long- and Short-Term Variability of Perimetry in Glaucoma.Translational vision science & technology · 2022Article
- Summation of Temporal L-Cone- and M-Cone-Contrast in the Magno- and Parvocellular Retino-Geniculate Systems in Glaucoma.Investigative ophthalmology & visual science · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purpose of this study was to isolate and quantify the effects of observer response criterion on perimetric sensitivity, response variability, and maximum response probability. Methods: Twelve people with glaucoma were tested at three locations in the visual field (age = 47-77 years, mean deviation = -0.61 to -14.54 dB, test location Humphrey field analyzer [HFA] sensitivities = 1 to 30 dB). Frequency of seeing (FoS) curves were measured using a method of constant stimuli with two response paradigms: a "yes-no" paradigm similar to static automated perimetry and a criterion-free two interval forced choice (2IFC) paradigm. Comparison measures of sensitivity, maximum response probability, and response variability were derived from the fitted FoS curves. Results: Sensitivity differences between the tasks varied widely (range = -11.3 dB to 21.6 dB) and did not correlate with visual field sensitivity nor whether the visual field location was in an area of steep sensitivity gradient within the visual field. Due to the wide variation in differences between the methods, there was no significant difference in mean sensitivity between the 2IFC task relative to the yes-no task, but a trend for higher sensitivity (mean = 1.9 dB, SD = 6.0 dB, Conclusions: Perimetric sensitivity estimates are demonstrably altered by observer response criterion but the effect varies widely and unpredictably, even within a single test. Response bias should be considered a factor in perimetric test variability and when comparing sensitivities to nonperimetric data. Translational Relevance: The effect of response criterion on perimetric response variability varies widely and unpredictably, even within a single test.
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