Table 2 Missing data pattern in the training dataset. The percentage of missing data for a single proposed prognostic factor within the training dataset can be calculated by summing all the patterns that include that variable
Pattern | n (%) |
|---|---|
Complete cases | 1268 (68.47) |
LDH | 187 (10.10) |
LDH and CRP | 107 (5.78) |
CRP | 74 (4.00) |
ISS | 46 (2.48) |
ISS and LDH and CRP | 30 (1.62) |
ISS and LDH | 28 (1.51) |
WHO PS | 27 (1.46) |
WHO PS and LDH | 20 (1.08) |
WHO PS and LDH and CRP | 16 (0.86) |
WHO PS and ISS and LDH and CRP | 13 (0.70) |
ISS and CRP | 9 (0.49) |
WHO PS and ISS and LDH | 9 (0.49) |
WHO PS and CRP | 7 (0.38) |
L:W and WHO PS and ISS and LDH and CRP | 5 (0.27) |
WHO and ISS | 4 (0.22) |
L:W | 1 (0.05) |
L:W and LDH and CRP | 1 (0.05) |
Age | 0 (0.00) |