Table 3.
95% Confidence Interval | |||
---|---|---|---|
Variable | 6 Months | 2 Years | 5 Years |
Present MD | (−0.1493, 0.0329) | (−0.1294, 0.1361) | (−0.2979, 0.3882) |
MD Velocity | (−0.0163, −0.0003) | (−0.0175, 0.0024) | (−0.0361, 0.0000) |
Present PSD | (0.0163, 0.1227) | (0.1308, 0.2880) | (0.4675, 0.8394) |
PSD Velocity | (0.0065, 0.0168) | (0.0039, 0.0166) | (−0.0028, 0.0195) |
Present IOP | (−0.2487, 0.0121) | (−0.2751, 0.0792) | (−0.6454, 0.0519) |
IOP Velocity | (−0.0033, 0.0194) | (−0.0117, 0.0185) | (−0.0365, 0.0175) |
The 95% confidence intervals of the Kalman filter error for each of the variables contain 0 or are close to containing 0 when the Kalman filter is used to predict 6 months, 2 years, and 5 years into the future. This means the values predicted by the Kalman filter are not significantly different from the values observed (alpha=0.05).
MD = mean deviation; PSD = pattern standard deviation; IOP = intraocular pressure