Table 3.
Dataset | NLow-IPSOV | NHigh-IPSOV | RMSLow-IPSOV (95%CI)a | RMSHigh-IPSOV (95%CI)a | RMS ratio (95%CI)b | P |
---|---|---|---|---|---|---|
Training set | 258 | 258 | 57.58 (52.61–62.55) | 42.73 (39.02–46.45) | 1.35 (1.19–1.52) | <0.001 |
Validation set 1 | 196 | 213 | 84.51 (72.62–96.41) | 61.82 (52.53–71.11) | 1.37 (1.11–1.67) | 0.003 |
Validation set 2 | 185 | 412 | 60.52 (54.77–66.28) | 46.40 (42.95–49.84) | 1.31 (1.15–1.47) | <0.001 |
Validation set 3 | 413 | 223 | 92.42 (83.49–101.35) | 60.77 (51.99–69.56) | 1.52 (1.27–1.81) | <0.001 |
Validation set 4 | 179 | 236 | 70.18 (60.61–79.75) | 37.17 (31.17–43.18) | 1.88 (1.52–2.33) | <0.001 |
Validation set 5 | 109 | 85 | 40.50 (37.80–43.20) | 32.75 (29.00–36.51) | 1.24 (1.08–1.41) | 0.002 |
RMS time: months.
RMS ratio = RMSLow-IPSOV/ RMSHigh-IPSOV.