corr.Bonferroni

<code>corr.Bonferroni</code> performs the ICC adjusted Bonferroni method proposed by
Shi, Pavey, and Carter(2012). Power law approximation by <code>r</code> is tricky, suggested
options was listed in the paper.

Perform additional multiple testing procedure methods to p.adjust(),
such as weighted Hochberg (Tamhane, A. C., & Liu, L., 2008) <doi:10.1093/biomet/asn018>,
ICC adjusted Bonferroni method (Shi, Q., Pavey, E. S., & Carter, R. E., 2012)
<doi:10.1002/pst.1514> and a new correlation corrected weighted Hochberg for correlated
endpoints.

Xin-Wei Huang

corrMCT

Correlated Weighted Hochberg

Jia Hua

Bhramori Banerjee

Xuelong Wang

Qing Li

Merck & Co., Inc 

corr.Bonferroni function

<dl><dt>p</dt>
<dd>A numeric vector. A length \(m\) P-value vector from multiple tests.</dd>
<dt>ICC</dt>
<dd>A number. Intraclass correlation correction factor, a real number between (0, 1).</dd>
<dt>r</dt>
<dd>A number. Tuning parameter for g** between (0, 1). Default <code>r=0</code>.</dd>
<dt>alpha</dt>
<dd>A real number. \(1-\alpha\) is the confidence level, <code>alpha</code> must between (0, 1).</dd></dl>

Arguments

ICC adjusted Bonferroni method — corr.Bonferroni

<dl>

<dt>p</dt>
<dd>A numeric vector. A length \(m\) P-value vector from multiple tests.</dd>


<dt>ICC</dt>
<dd>A number. Intraclass correlation correction factor, a real number between (0, 1).</dd>


<dt>r</dt>
<dd>A number. Tuning parameter for g** between (0, 1). Default <code>r=0</code>.</dd>


<dt>alpha</dt>
<dd>A real number. \(1-\alpha\) is the confidence level, <code>alpha</code> must between (0, 1).</dd>

</dl>

corr.Bonferroni: ICC adjusted Bonferroni method

Description

Usage

Value

Arguments

References

Examples