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Applications of sensitivity analysis in meta-analysis

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In a meta analysis, a sensitivity analysis tests if the results are sensitive to restrictions on the data included. Common examples are 'large trials only', 'higher quality trials only', and 'more recent trials only'. If results are consistent it provides stronger evidence of an effect and of generalizability.[1]


References

  1. ↑ clinicalevidence.bmj.com > Glossary > sensitivity analysis Retrieved on June 21, 2010




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