Total Deviation Probability Plots for Stimulus Size V Perimetry: A Comparison With Size III Stimuli
Wall et al.
Arch Ophthalmol 2008;126:473-479.
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The Effects of Intraocular Pressure Reduction on Perimetric Variability in Glaucomatous Eyes
Fogagnolo et al.
IOVS 2007;48:4557-4563.
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Comparison of Methods to Predict Visual Field Progression in Glaucoma
Nouri-Mahdavi et al.
Arch Ophthalmol 2007;125:1176-1181.
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Frequency of seeing characteristics of the short wavelength sensitive visual pathway in clinically normal subjects and diabetic patients with focal sensitivity loss
Gilmore et al.
Br. J. Ophthalmol. 2005;89:1462-1467.
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Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields
Sample et al.
IOVS 2005;46:3684-3692.
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Approach for Identifying Glaucomatous Optic Nerve Progression by Scanning Laser Tomography
Tan and Hitchings
IOVS 2003;44:2621-2626.
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Interobserver agreement on visual field progression in glaucoma: a comparison of methods
Viswanathan et al.
Br. J. Ophthalmol. 2003;87:726-730.
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Measurement error of visual field tests in glaucoma
Spry et al.
Br. J. Ophthalmol. 2003;87:107-112.
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Frequency of testing for detecting visual field progression
Gardiner and Crabb
Br. J. Ophthalmol. 2002;86:560-564.
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Spatial and Temporal Processing of Threshold Data for Detection of Progressive Glaucomatous Visual Field Loss
Spry et al.
Arch Ophthalmol 2002;120:173-180.
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Comparing Machine Learning Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry
Goldbaum et al.
IOVS 2002;43:162-169.
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Variability Components of Standard Automated Perimetry and Frequency-Doubling Technology Perimetry
Spry et al.
IOVS 2001;42:1404-1410.
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The Long-Term Fluctuation of the Visual Field in Stable Glaucoma
Hutchings et al.
IOVS 2000;41:3429-3436.
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Confirmation of Visual Field Abnormalities in the Ocular Hypertension Treatment Study
Keltner et al.
Arch Ophthalmol 2000;118:1187-1194.
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Simulation of Longitudinal Threshold Visual Field Data
Spry et al.
IOVS 2000;41:2192-2200.
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False-Negative Responses in Glaucoma Perimetry: Indicators of Patient Performance or Test Reliability?
Bengtsson and Heijl
IOVS 2000;41:2201-2204.
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Effect of Instructions on Conventional Automated Perimetry
Kutzko et al.
IOVS 2000;41:2006-2013.
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Response Variability in the Visual Field: Comparison of Optic Neuritis, Glaucoma, Ocular Hypertension, and Normal Eyes
Henson et al.
IOVS 2000;41:417-421.
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Long- and Short-term Variability of Automated Perimetry Results in Patients With Optic Neuritis and Healthy Subjects
Wall et al.
Arch Ophthalmol 1998;116:53-61.
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Early detection of visual field progression in glaucoma: a comparison of PROGRESSOR and STATPAC 2
Viswanathan et al.
Br. J. Ophthalmol. 1997;81:1037-1042.
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High spatial resolution automated perimetry in glaucoma
Westcott et al.
Br. J. Ophthalmol. 1997;81:452-459.
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