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.

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.

Mathias Harrer