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Joined 2026-09-21 Message
Incoming links: Meta-analysis
Leave-one-study-out influence analysis 2026-10-05
Refit a meta-analysis after deleting each study, comparing fitted effects, uncertainty and heterogeneity to the full fit. For fixed weights , total weight and weighted effect , direct subtraction of the two weighted means gives . Re-estimating heterogeneity additionally measures influence through the weights. This is a sensitivity diagnostic, not an automatic rule for removing discordant studies.
Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 207 1 d Solution Created 2026-10-03 Updated 2026-10-05
A network meta-analysis can offer three distinct benefits, assuming a connected treatment network and credible transitivity in network meta-analysis.
- Comparisons without a direct trial. A path through common comparators permits an indirect treatment comparison of treatments that have never been randomized against one another.
- Greater precision. Combining consistent direct and indirect evidence can reduce the variance of a treatment-effect estimate and make more complete use of the trials than separate pairwise meta-analyses.
- Coherent decisions across many treatments. A joint statistical model estimates all relative effects on one scale, allowing treatment rankings and their uncertainty to inform a choice among several options rather than presenting disconnected pairs.
These are potential benefits, not guarantees: heterogeneous effect modifiers, inconsistent evidence, disconnected networks or imprecise rankings can defeat them.