Table 2.

Differences in Slopes of Change and Standard Errors of the Slopes between Eyes that Progressed According to the Two Linear Regression Methods

	Progression Only by the Bayesian Method (n = 65)	Progression Only by the OLS Method (n = 25)	P†
VFI
Average Bayesian slope	−0.74 ± 1.23	−0.08 ± 0.11	<0.001
Average standard error of the Bayesian slopes	0.46 ± 0.26	0.31 ± 0.04	<0.001
Average OLS slope	−0.90 ± 1.55	−0.11 ± 0.39	<0.001
Average standard error of the OLS slopes	1.06 ± 1.20	0.34 ± 0.30	<0.001
TSNIT Average
Average Bayesian slope	−1.04 ± 0.62	−0.40 ± 0.32	<0.001
Average standard error of the Bayesian slopes	0.58 ± 0.24	0.42 ± 0.11	<0.001
Average OLS slope	−1.44 ± 0.98	−0.99 ± 0.84	0.033
Average standard error of the OLS slopes	0.84 ± 0.75	0.28 ± 0.38	<0.001

*Progression only by Bayesian indicates eyes that progressed according to the combined Bayesian method (structure and/or function). Progression only by OLS indicates eyes that progressed only by the OLS linear regression method (structure and/or function).

^†Mann-Whitney U test.