Sensitivity Analysis in Meta‐Analysis: A Tutorial
University of Dental Medicine at Mandalay · University of Zagreb · +3 more institutions
Abstract
This tutorial explains when systematic review authors may consider performing a sensitivity analysis in a meta-analysis. Such scenarios include removing studies at high risk of bias, exploring the effect of outliers and examining differences in study characteristics (e.g., participants' age, study design). In addition, examples are provided, as well as advice on how to interpret and report the results. The tutorial also explains the differences between subgroup and sensitivity analyses, as well as describing the disadvantages of a sensitivity analysis. To support this tutorial, a link to an online module, which includes videos and quizzes, is also provided.
Citation impact
- FWCI
- 70.84
- Percentile
- 100%
- References
- 3
Authors
4Topics & keywords
- Sensitivity (control systems)
- Advice (programming)
- Outlier
- Statistical analysis
- Systematic error
- Quality Education