Description Usage Arguments Value Note Author(s) See Also Examples
Non-inferiority test and diagnostic test are very important in clinical trails. This package is to get a p value of the non-inferiority test for ROC curves from diagnostic test using the bootstrap method.
1 | rocNIT(BNO,DATA,cVAL1,cVAL2,cGOLD,DELTA,ALPHA,seed)
|
BNO |
the times of the sampling of bootstrap |
DATA |
the dataset including 3 variables at least: VAL1,VAL2,GOLD |
cVAL1 |
the column number of the first numeric variable |
cVAL2 |
the column number of the second numeric variable |
cGOLD |
the column number of the golden variable which should be binary |
DELTA |
the non-inferiority margin, default is 0.05 |
ALPHA |
the significant level, default is 0.05 |
seed |
the seed for the sampling of bootstrap, default is 2016 |
AREA1 |
the AUC for the first variable |
AREASE1 |
the SE of the AUC for the first variable |
AREA2 |
the AUC for the second variable |
AREASE2 |
the SE of the AUC for the second variable |
bCIL |
the lower limit of CI from bootstrap sampling |
bCIU |
the upper limit of CI from bootstrap sampling |
Z |
the statistic to get the p value |
P |
the p value of the non-inferiority test, P < ALPHA means a significant non-inferiority |
Referenced from Jen-Pei Liu et al. Tests of equivalence and non-inferiority for diagnostic accuracy based on the paired areas under ROC curves. STATISTICS IN MEDICINE. DOI: 10.1002/sim.2358
Zhicheng Du<dgdzc@hotmail.com>, Yuantao Hao<haoyt@mail.sysu.edu.cn>
nothing
1 2 3 4 5 |
AREA1 AREASE1 AREA2 AREASE2 bCIL bCIU Z
1 0.3079287 0.05007109 0.2683818 0.04556233 -0.1753056 0.4072741 1.558175
P
1 0.05959588
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.