Multivariate regression models were constructed using data from all normal specimens to estimate the effects of age on the average outcomes. Region of the sclera, midposterior or peripapillary sclera when applicable, and age were used as predictors. For the comparison between normal and glaucoma specimens, glaucoma eyes were divided into two categories. Diagnosed glaucoma eyes whose optic nerves were graded as having ≤10% axon loss were labeled as undamaged (11 eyes from 8 donors, average age ± SD: 79.8 ± 10.4). Glaucoma eyes with optic nerve gradings of mild, moderate, or severe damage formed the second category, labeled as damaged glaucoma (7 eyes from 5 donors, average age ± SD: 83.1 ± 4.1). Normal eyes were included, whether their nerves were gradable or not (35 eyes from 22 donors, average age ± SD: 69.0 ± 13.5). In order to account for the age distribution of the normal and glaucoma eyes, comparisons of the outcomes were performed within two age groups: 60 to 75 years and 76 to 93 years. Repeated measures ANOVA was used to compare the outcomes of the three groups. In a final model, age and diagnoses of glaucoma were added together as variables in a multivariate regression analysis including all normal, undamaged glaucoma, and damaged glaucoma specimens. For all models, predictors of the outcomes were considered significant at a P ≤ 0.05, and generalized estimating equations (GEE) models were used to account for correlations between eyes of the same patient when both eyes were included in the analysis. Sex was not a significant predictor for any of the measured outcomes and was not included in the models. For the outcomes that did not follow a Gaussian distribution, we performed the multivariate analysis on the logarithm of the values. The statistical analyses were performed using the software SAS (version 9.2, SAS Institute Inc., Cary, NC).