From: Dynamic meta-analysis: a method of using global evidence for local decision making
Step | Action | Result |
---|---|---|
1. Meta-analysis of all studies | Browse Metadataset by intervention and/or outcome, make selections, and click “Start your analysis” in the Shiny app | Crop yield: 0% different after cover crops (non-significant) |
2. Subgroup analysis of selected studies | Select filters and then click “Update your analysis” | Crop yield: 13% lower after cover crops (non-significant) (brassicas in the USA, with irrigated cash crops) |
3. Meta-regression of all studies, with results for selected studies | With the same selections, click “Meta-regression” | Crop yield: 9% lower after cover crops (significant) (brassicas in the USA, but irrigation was not included in the best model) |
4. Recalibration of selected studies | Move the sliders on the tab for “Study summaries and weights” and then click “Update your analysis” | Crop yield: 17% lower (significant) (brassicas in the USA, with irrigated cash crops, and with a relevance weight of 0.5 assigned to one study) |
5. Sensitivity analysis | Permute the settings (e.g. methods for handling missing data) and then compare the results | Crop yield: significantly lower than 0% |