Classification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression

Table 1

Kappa statistic (k) among different methods to classify visual field progression.

	K	SE	IC 95%
Hodapp et al. [12]
AGIS [8]	0.496	0.137	0.228; 0.764
Progressor	0.592	0.128	0.342; 0.843
MD r^2	0.389	0.146	0.103; 0.675
PSD r^2	0.121	0.15	−0.174; 0.415
VFI r^2	0.432	0.143	0.151; 0.714
AGIS [8]
Hodapp et al. [12]	0.496	0.137	0.228; 0.764
Progressor	0.636	0.136	0.368; 0.903
MD r^2	0.514	0.153	0.215; 0.813
PSD r^2	0.084	0.219	−0.344; 0.513
VFI r^2	0.559	0.15	0.264; 0.853
MD r^2
Hodapp et al. [12]	0.389	0.146	0.103; 0.675
AGIS [8]	0.514	0.153	0.215; 0.813
Progressor	0.298	0.168	−0.030; 0.627
PSD r^2	0.177	0.197	−0.208; 0.562
VFI r^2	0.698	0.126	0.452; 0.944
PSD r^2
Hodapp et al. [12]	0.121	0.15	−0.174; 0.415
AGIS [8]	0.084	0.219	−0.344; 0.513
Progressor	−0.097	0.209	−0.507; 0.312
MD r^2	0.177	0.197	−0.208; 0.562
VFI r^2	0.2	0.202	−0.196; 0.597
VFI r^2
Hodapp et al. [12]	0.432	0.143	0.151; 0.714
AGIS [8]	0.559	0.15	0.264; 0.853
Progressor	0.336	0.168	0.007; 0.665
MD r^2	0.698	0.126	0.452; 0.944
PSD r^2	0.2	0.202	−0.196; 0.597
Progressor
Hodapp et al. [12]	0.592	0.128	0.342; 0.843
AGIS [8]	0.636	0.136	0.368; 0.903
MD r^2	0.298	0.168	−0.030; 0.627
PSD r^2	−0.097	0.209	−0.507; 0.312
VFI r^2	0.336	0.168	0.007; 0.665

SE: standard error, IC: interval confidence, MD r²: mean deviation linear regression, PSD r²: pattern standard deviation linear regression, and VFI r²: visual field index linear regression.