# SDM calculations

## Index

Mean analyses | This procedure calculates meta-analytic means, with their statistical significance based on Monte Carlo randomizations. You can specify a filter, useful for subgroup analyses. | |

Jackknife sensitivity analysis |
This procedure performs a jackknife analysis, which consists in repeating the mean analysis as many times as studies have been included, discarding one different study each time. This is useful for exploring the replicability of the findings. | |

Linear models | Linear models might be useful to several aims such as comparing two or more groups, controlling for potential confoundings, or assessing the heterogeneity of the findings by means of meta-regressions. | |

Linear models: comparing groups |
This procedure calculates the differences between two or three groups, with their statistical significance based on Monte Carlo randomizations. You can specify covariates to remove potential confounds, and a filter for subgroup analyses. | |

Linear models: meta-regression |
This procedure calculates linear meta-regressions, with their statistical significance based on Monte Carlo randomizations. You can specify a filter, useful for subgroup analyses. | |

The authors | IoP King's College London | FIDMAG | NeuroImageN