1985
DOI: 10.1007/978-94-009-5512-7_6
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Probability Maps for Evaluating Automated Visual Fields

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Cited by 16 publications
(10 citation statements)
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“…If probability plots were based on (incorrect) assumptions of constant variability and Gaussian distributions of normal measured thresholds across the central 30° field [12] they would offer no extra help as compared with the numerical deviation maps. If probability plots were based on (incorrect) assumptions of constant variability and Gaussian distributions of normal measured thresholds across the central 30° field [12] they would offer no extra help as compared with the numerical deviation maps.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…If probability plots were based on (incorrect) assumptions of constant variability and Gaussian distributions of normal measured thresholds across the central 30° field [12] they would offer no extra help as compared with the numerical deviation maps. If probability plots were based on (incorrect) assumptions of constant variability and Gaussian distributions of normal measured thresholds across the central 30° field [12] they would offer no extra help as compared with the numerical deviation maps.…”
Section: Discussionmentioning
confidence: 99%
“…Several such methods and programmes have been devised or suggested [1,4,5,10,11,12]. It is quite obvious that one may use the on-board computer of the perimeter not only to govern the test process itself, but also to help analyse the results of the visual field test by performing statistical analyses or by plotting the results in new ways intended to facilitate interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…Any effort to divide the visual field into sectors and areas related to the retinal nerve fiber bundles [4][5][6][7][8] had to be based solely on anatomical studies. But such studies are complicated and results vary, as Ballantyne's overview showed [9].…”
Section: Introductionmentioning
confidence: 99%
“…, 2002). Several algorithms, such as the global indices, exist to enable the detection of pathological perimetries (Schwartz and Nagin, 1985; Brenton and Phelps, 1986).…”
Section: Introductionmentioning
confidence: 99%