Get_ENT: Estimate the effective number of tests for Bonferroni...
In lin-lab/SKAT: SNP-Set (Sequence) Kernel Association Test
Description
Usage
Arguments
Value
Author(s)
References
Description
Estimate the effective number of tests for Bonferroni correction using the minimum achievable p-values (MAP).
Usage
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Get_EffectiveNumberTest(MAP, alpha=0.05, Is.MidP=TRUE)
Arguments
MAP
a vector of the minimum achievable p-values (MAP).
alpha
a significant level.
Is.MidP
a logical value indicating whether p-values are mid-p-values.
Value
Effective number of test for Bonferroni correction at the level alpha. MAP can be obtained from
SKATBinary functions.
Author(s)
Seunggeun Lee
References
Lee, S., Fuchsberger, C., Kim, S., Scott, L. (2015)
An efficient resampling method for calibrating single and gene-based rare variant association analysis in case-control studies.
Biostatistics, in press.
lin-lab/SKAT documentation built on May 29, 2019, 3:41 a.m.
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Description Usage Arguments Value Author(s) References
Description
Estimate the effective number of tests for Bonferroni correction using the minimum achievable p-values (MAP).
Usage
1 2 3 4 5 6 |
Get_EffectiveNumberTest(MAP, alpha=0.05, Is.MidP=TRUE)
|
Arguments
MAP |
a vector of the minimum achievable p-values (MAP). |
alpha |
a significant level. |
Is.MidP |
a logical value indicating whether p-values are mid-p-values. |
Value
Effective number of test for Bonferroni correction at the level alpha. MAP can be obtained from SKATBinary functions.
Author(s)
Seunggeun Lee
References
Lee, S., Fuchsberger, C., Kim, S., Scott, L. (2015) An efficient resampling method for calibrating single and gene-based rare variant association analysis in case-control studies. Biostatistics, in press.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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