truncatedPearson

Apply Truncated-Pearsons' test or ordinary Pearsons' test on one-sided p-values.

User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses summary. The replicability-analysis output provides an assessment of the investigated intervention, where it offers quantification of effect replicability and assessment of the consistency of findings.
- Replicability-analysis for fixed-effects and random-effect meta analysis:
- r(u)-value;
- lower bounds on the number of studies with replicated positive and\or negative effect;
- Allows detecting inconsistency of signals;
- forest plots with the summary of replicability analysis results;
- Allows Replicability-analysis with or without the common-effect assumption.

Iman Jaljuli

metarep

Replicability-Analysis Tools for Meta-Analysis

truncatedPearson function

<dl><dt>p</dt>
<dd>one-sided p-values of the individual studies for testing one-sided alternative based on z-test.</dd>
<dt>alpha.tilde</dt>
<dd>truncartion threshold for truncated-Pearson test. Use alpha.tilde = 1 for ordinary Pearsons' test for combining p-values.</dd></dl>

Arguments

Truncated-Pearsons' test — truncatedPearson

<dl>

<dt>p</dt>
<dd>one-sided p-values of the individual studies for testing one-sided alternative based on z-test.</dd>


<dt>alpha.tilde</dt>
<dd>truncartion threshold for truncated-Pearson test. Use alpha.tilde = 1 for ordinary Pearsons' test for combining p-values.</dd>

</dl>

truncatedPearson: Truncated-Pearsons' test

Description

Usage

Value

Arguments

Examples