Logistic regression: relationship between subject and treatment variables and the outcome of ITI
Univariate analysis . | |
---|---|
Subject variable | P |
Ethnicity (white/nonwhite) | .71 |
Age at randomization (ITI) | .83 |
Peak historical inhibitor titer | .026 |
Peak titer on ITI | .002 |
Peak titer on ITI ≤ 250 versus > 250 BU | .0002 |
Time to titer of < 10 BU pre-ITI | .40 |
Starting inhibitor titer | .98 |
Treatment variable | |
Randomized treatment arm | .82 |
Protocol dose compliance | .35 |
Product type | .58 |
Total hospital in-patient days | .088 |
CVAD in place | .58 |
CVAD infection | .83 |
Multivariate analysis | |
Peak inhibitor titer on ITI | .002 |
Univariate analysis . | |
---|---|
Subject variable | P |
Ethnicity (white/nonwhite) | .71 |
Age at randomization (ITI) | .83 |
Peak historical inhibitor titer | .026 |
Peak titer on ITI | .002 |
Peak titer on ITI ≤ 250 versus > 250 BU | .0002 |
Time to titer of < 10 BU pre-ITI | .40 |
Starting inhibitor titer | .98 |
Treatment variable | |
Randomized treatment arm | .82 |
Protocol dose compliance | .35 |
Product type | .58 |
Total hospital in-patient days | .088 |
CVAD in place | .58 |
CVAD infection | .83 |
Multivariate analysis | |
Peak inhibitor titer on ITI | .002 |