From: Assessing discriminative ability of risk models in clustered data

Fixed effect meta-analysis | Random effects meta-analysis | |
---|---|---|

Assuming the same true (logit) concordance probability within each cluster | Assuming variation in true (logit) concordance probabilities across clusters | |

Probability scale
| ||

Meta-analysis of cluster-specific estimates of the concordance probability | 1. Equal weight for each cluster | 6. Inverse of the sum of the cluster-specific sampling variance estimate and the between-cluster variance estimate |

2. Number of subjects in the cluster | ||

3. Number of subjects in the cluster with an event | ||

4. Number of usable subject pairs within the cluster | ||

5. Inverse of the cluster-specific sampling variance estimate | ||

Log-odds scale
| ||

Meta-analysis of cluster-specific estimates of the logit concordance probability | 7. Inverse of the cluster-specific sampling variance estimate on log-odds scale | 8. Inverse of the sum of the cluster-specific sampling variance estimate on log-odds scale and the between-cluster variance estimate on log-odds scale |