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Items: 1 to 20 of 99

1.

Biostatistical analysis of the collaborative glaucoma study. I. Summary report of the risk factors for glaucomatous visual-field defects.

Armaly MF, Krueger DE, Maunder L, Becker B, Hetherington J Jr, Kolker AE, Levene RZ, Maumenee AE, Pollack IP, Shaffer RN.

Arch Ophthalmol. 1980 Dec;98(12):2163-71.

PMID:
7447768
2.

Lessons to be learned from the Collaborative Glaucoma Study.

Armaly MF.

Surv Ophthalmol. 1980 Nov-Dec;25(3):139-44.

PMID:
7466593
3.

Short-wavelength automated perimetry in low-, medium-, and high-risk ocular hypertensive eyes. Initial baseline results.

Johnson CA, Brandt JD, Khong AM, Adams AJ.

Arch Ophthalmol. 1995 Jan;113(1):70-6.

PMID:
7826296
4.
5.

Quantitative visual field and optic disc correlates early in glaucoma.

Hart WM Jr, Yablonski M, Kass MA, Becker B.

Arch Ophthalmol. 1978 Dec;96(12):2209-11.

PMID:
718511
6.
7.

Baseline prognostic factors predict rapid visual field deterioration in glaucoma.

Lee JM, Caprioli J, Nouri-Mahdavi K, Afifi AA, Morales E, Ramanathan M, Yu F, Coleman AL.

Invest Ophthalmol Vis Sci. 2014 Apr 7;55(4):2228-36. doi: 10.1167/iovs.13-12261.

PMID:
24458154
8.

Correlation between intraocular pressure level and optic disc changes in high-tension glaucoma suspects.

Tanito M, Itai N, Dong J, Ohira A, Chihara E.

Ophthalmology. 2003 May;110(5):915-21.

PMID:
12750089
9.

Retinal nerve fiber layer thickness measurements with scanning laser polarimetry predict glaucomatous visual field loss.

Mohammadi K, Bowd C, Weinreb RN, Medeiros FA, Sample PA, Zangwill LM.

Am J Ophthalmol. 2004 Oct;138(4):592-601.

PMID:
15488786
10.

Selective perimetry for glaucomatous defects in ocular hypertension.

Armaly MF.

Arch Ophthalmol. 1972 May;87(5):518-24. No abstract available.

PMID:
5028093
11.
12.

Evaluation of hemifield sector analysis protocol in multifocal visual evoked potential objective perimetry for the diagnosis and early detection of glaucomatous field defects.

Mousa MF, Cubbidge RP, Al-Mansouri F, Bener A.

Korean J Ophthalmol. 2014 Feb;28(1):49-65. doi: 10.3341/kjo.2014.28.1.49. Epub 2014 Jan 21.

13.

Multifocal objective perimetry in the detection of glaucomatous field loss.

Goldberg I, Graham SL, Klistorner AI.

Am J Ophthalmol. 2002 Jan;133(1):29-39.

PMID:
11755837
14.

Visual field loss from primary angle-closure glaucoma: a comparative study of symptomatic and asymptomatic disease.

Ang LP, Aung T, Chua WH, Yip LW, Chew PT.

Ophthalmology. 2004 Sep;111(9):1636-40.

PMID:
15350315
15.

Motion automated perimetry identifies early glaucomatous field defects.

Bosworth CF, Sample PA, Gupta N, Bathija R, Weinreb RN.

Arch Ophthalmol. 1998 Sep;116(9):1153-8.

PMID:
9747672
16.

Asymmetries and visual field summaries as predictors of glaucoma in the ocular hypertension treatment study.

Levine RA, Demirel S, Fan J, Keltner JL, Johnson CA, Kass MA; Ocular Hypertension Treatment Study Group.

Invest Ophthalmol Vis Sci. 2006 Sep;47(9):3896-903.

17.
18.

Predictive factors of the optic nerve head for development or progression of glaucomatous visual field loss.

Jonas JB, Martus P, Horn FK, J√ľnemann A, Korth M, Budde WM.

Invest Ophthalmol Vis Sci. 2004 Aug;45(8):2613-8.

PMID:
15277484
19.

Risk factors for the development of glaucomatous visual field loss in ocular hypertension.

Quigley HA, Enger C, Katz J, Sommer A, Scott R, Gilbert D.

Arch Ophthalmol. 1994 May;112(5):644-9.

PMID:
8185522
20.

Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields.

Sample PA, Boden C, Zhang Z, Pascual J, Lee TW, Zangwill LM, Weinreb RN, Crowston JG, Hoffmann EM, Medeiros FA, Sejnowski T, Goldbaum M.

Invest Ophthalmol Vis Sci. 2005 Oct;46(10):3684-92.

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