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

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.