crohn

<p>To discover the associations between SNPs and Crohn's disease, 635547 SNPs were examined in a primary study. For follow-up, 126 SNPs were measured in an independent study.
The criteria for follow-up were as follows: the two smallest p-values in each distinct region with primary study p-values below 0.00005.</p>

datasets

Calculates adjusted p-values for the null hypothesis of no replicability
across studies for two study designs: (i) a primary and follow-up study, where the features in the follow-up study
are selected from the primary study, as described in Bogomolov and Heller (2013) <doi:10.1080/01621459.2013.829002> and Heller, Bogomolov and Benjamini (2014) <doi:10.1073/pnas.1314814111>;
(ii) two independent studies, where the features for replicability are first
selected in each study separately, as described in Bogomolov and Heller (2018) <doi:10.1093/biomet/asy029>.
The latter design is the one encountered in a typical meta-analysis of
two studies, but the inference is for replicability rather than for identifying the features that are non-null
in at least one study.

Ruth Heller

radjust

Replicability Adjusted p-Values for Two Independent Studies with
Multiple Endpoints

Shay Yaacoby

Marina Bogomolov

crohn function

<p>A data frame with 126 rows and 3 columns:</p><table><tr><td>
<code>index</code> </td>
<td> integer </td>
<td> just the row number. </td>
</tr><tr><td>
<code>pv1</code>   </td>
<td> numeric </td>
<td> p-value from study 1. </td>
</tr></table>

crohn: p-values of 126 SNPs followed from a primary study to a follow-up study for testing their association with Crohn's disease.

Description

Usage

Arguments

Format

References

See Also

`index`	integer	just the row number.
`pv1`	numeric	p-value from study 1.