Table 5.
# | Age diagnosis | Sex | ExtraMets | log(NTX) | |||||
---|---|---|---|---|---|---|---|---|---|
Value | p-value | Value | p-value | Value | p-value | Value | p-value | ||
Omit | 1 | 0.0185 | 0.0152 | 0.3160 | 0.1499 | 0.6655 | 0.0035 | 0.2093 | 0.0593 |
2 | 0.0184 | 0.0160 | 0.3134 | 0.1530 | 0.6649 | 0.0035 | 0.2175 | 0.0638 | |
3 | 0.0184 | 0.0147 | 0.2655 | 0.2216 | 0.6051 | 0.0085 | 0.1095 | 0.0442 | |
LOCF | 4 | 0.0186 | 0.0144 | 0.3006 | 0.1672 | 0.6687 | 0.0032 | 0.1674 | 0.0755 |
5 | 0.0186 | 0.0147 | 0.3005 | 0.1672 | 0.6673 | 0.0032 | 0.1692 | 0.0753 | |
6 | 0.0175 | 0.0242 | 0.2930 | 0.1820 | 0.6322 | 0.0053 | 0.1353 | 0.0289 | |
OCS | 7 | 0.0182 | 0.0164 | 0.3048 | 0.1612 | 0.6586 | 0.0036 | 0.1955 | 0.0430 |
8 | 0.0181 | 0.0166 | 0.3046 | 0.1615 | 0.6575 | 0.0037 | 0.1962 | 0.0430 | |
9 | 0.0170 | 0.0233 | 0.3153 | 0.1496 | 0.6681 | 0.0032 | 0.1966 | 0.0013 |
In models 1 to 3 the missing values were omitted, in 4 to 6 LOCF was used to impute the missing values and in 7 to 9 OCS was used