Checklist for PRIME-IPD tool58
| PRIME | Items |
| Processing | Convert data into single format for statistical programme of choice Compare the total number of participants in the acquired datasets to those reported in published articles Verify the presence of the variables of interest in the acquired dataset Standardise variable names across datasets Identify and standardise the measurement scales used to report the variables of interest Identify and standardise coding for missing values Identify and correct any implausible values that may result from data conversion |
| Replication | Recalculate reported descriptive and summary statistics using the acquired datasets Calculate the standardised difference to quantitively assess the difference between the replicated and published results If the standardised difference is >10%, investigate and address potential causes |
| Imputation | Assess the appropriateness of conducting imputation of missing data using missing data theory If multiple imputation is conducted, carefully consider the number of imputations to be run |
| Merging | Ensure in processing step that variable order and codes are correct Merge the imputed dataset into a single, pooled dataset, taking into consideration the number of imputed datasets, if appropriate |
| Evaluation | Assess continuous variables for normality by residual analysis either visually or by statistical tests If required, calculate new variables for standardised comparison of effects |