Establishing an optimal cut-off for the surrogate virus neutralization assay against the WT strain.
| 95% Confidence interval . | |||||
|---|---|---|---|---|---|
| Variable—cutoffs . | Area . | Std error . | Lower bound . | Upper bound . | P-value* . |
| Population based—27.6967 | 0.833 | 0.167 | 0.505 | 1.000 | .049 |
| Manufacture recommended 30% Cutoff | 0.790 | 0.164 | 0.469 | 1.000 | .087 |
| 50% Cutoff | 0.803 | 0.165 | 0.480 | 1.000 | .074 |
| 80% Cutoff | 0.773 | 0.163 | 0.454 | 1.000 | .107 |
| 95% Confidence interval . | |||||
|---|---|---|---|---|---|
| Variable—cutoffs . | Area . | Std error . | Lower bound . | Upper bound . | P-value* . |
| Population based—27.6967 | 0.833 | 0.167 | 0.505 | 1.000 | .049 |
| Manufacture recommended 30% Cutoff | 0.790 | 0.164 | 0.469 | 1.000 | .087 |
| 50% Cutoff | 0.803 | 0.165 | 0.480 | 1.000 | .074 |
| 80% Cutoff | 0.773 | 0.163 | 0.454 | 1.000 | .107 |
WT: Wild-type, Std: Standard.
Null hypothesis: true area = 0.05.
Establishing an optimal cut-off for the surrogate virus neutralization assay against the WT strain.
| 95% Confidence interval . | |||||
|---|---|---|---|---|---|
| Variable—cutoffs . | Area . | Std error . | Lower bound . | Upper bound . | P-value* . |
| Population based—27.6967 | 0.833 | 0.167 | 0.505 | 1.000 | .049 |
| Manufacture recommended 30% Cutoff | 0.790 | 0.164 | 0.469 | 1.000 | .087 |
| 50% Cutoff | 0.803 | 0.165 | 0.480 | 1.000 | .074 |
| 80% Cutoff | 0.773 | 0.163 | 0.454 | 1.000 | .107 |
| 95% Confidence interval . | |||||
|---|---|---|---|---|---|
| Variable—cutoffs . | Area . | Std error . | Lower bound . | Upper bound . | P-value* . |
| Population based—27.6967 | 0.833 | 0.167 | 0.505 | 1.000 | .049 |
| Manufacture recommended 30% Cutoff | 0.790 | 0.164 | 0.469 | 1.000 | .087 |
| 50% Cutoff | 0.803 | 0.165 | 0.480 | 1.000 | .074 |
| 80% Cutoff | 0.773 | 0.163 | 0.454 | 1.000 | .107 |
WT: Wild-type, Std: Standard.
Null hypothesis: true area = 0.05.
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