wFisher

sample size-weighted Fisher's method

The meta-analysis is performed to increase the statistical power by integrating the results from several experiments. The p-values are often combined in meta-analysis when the effect sizes are not available. The 'metapro' R package provides not only traditional methods (Becker BJ (1994, ISBN:0-87154-226-9), Mosteller, F. & Bush, R.R. (1954, ISBN:0201048523) and Lancaster HO (1949, ISSN:00063444)), but also new method named weighted Fisher’s method we developed. While the (weighted) Z-method is suitable for finding features effective in most experiments, (weighted) Fisher’s method is useful for detecting partially associated features. Thus, the users can choose the function based on their purpose. Yoon et al. (2021) "Powerful p-value combination methods to detect incomplete association" <doi:10.1038/s41598-021-86465-y>.

Sora Yoon

metapro

Robust P-Value Combination Methods

wFisher function

<dl><dt>p</dt>
<dd>A numeric vector of p-values</dd>
<dt>weight</dt>
<dd>A numeric vector of weight or sample size for each experiment</dd>
<dt>is.onetail</dt>
<dd>Logical. If set TRUE, p-values are combined without considering the direction of effects, and vice versa. Default: TRUE.</dd>
<dt>eff.sign</dt>
<dd>A vector of signs of effect sizes. It works when is.onetail = FALSE</dd></dl>

Arguments

wFisher — wFisher

<dl>

<dt>p</dt>
<dd>A numeric vector of p-values</dd>


<dt>weight</dt>
<dd>A numeric vector of weight or sample size for each experiment</dd>


<dt>is.onetail</dt>
<dd>Logical. If set TRUE, p-values are combined without considering the direction of effects, and vice versa. Default: TRUE.</dd>


<dt>eff.sign</dt>
<dd>A vector of signs of effect sizes. It works when is.onetail = FALSE</dd>

</dl>

wFisher: wFisher

Description

Usage

Value

Arguments

References

Examples