# Ionizing Radiation from Chernobyl and Mutation Rates in Humans dataset

`Chernobyl.Rd`

This is a dataset containing correlations between exposure to ionized radiation due to the 1986 Chernobyl reactor disaster and mutation rates in humans.

## Usage

`data("Chernobyl")`

## Format

A `data.frame`

with 8 columns.

- author
`character`

. The study label containing the author and year of the study.- cor
`numeric`

. Untransformed Pearson correlation between radiation exposure and mutation rates.- n
`numeric`

. Sample size.- z
`numeric`

. Fisher-\(z\) transformed correlations.- se.z
`numeric`

. Standard error of the Fisher-\(z\) transformed correlations.- var.z
`numeric`

. Variance of the Fisher-\(z\) transformed correlations.- radiation
`character`

. Overall amount of exposure in the study sample.- es.id
`character`

. Variable representing study membership.

## Source

Møller, A. P., & Mousseau, T. A. (2015). Strong Effects of Ionizing Radiation from Chernobyl on Mutation Rates. *Scientific Reports*, 5, 8363.

## Details

This data set is based on studies assessing mutations in humans exposed to radioactive fallout of the Chernobyl reactor
incident, as identified in Møller & Mousseau (2015). Several studies report more than one estimate of the association between
radiation exposure and mutation rate, which generates a nested data structure (effect sizes are nested in studies). A variable
`es.id`

was added to the data set, coding the clustered data structure. The dataset contains the untransformed
correlation (`cor`

) and sample size, as well as the Fisher-\(z\) transformed correlation, along with their standard error
and variance. The \(z\) and variance value may be used in three-level meta-analysis models implemented via the `rma.mv`

function
in the `metafor`

package.

Please note that the values in this dataset are not exactly identical to the ones in Møller & Mousseau (2015), and results may therefore differ to the ones the reported in the paper.