Much ado about nothing: a comparison of the performance of meta‐analytical methods with rare events
By M. Bradburn, J. Deeks, Jesse Berlin, A. Russell Localio. Statistics in Medicine, 2007
879 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e2431b164d78b2507f85d6a4ff1f39d4ea61ac59
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Julian P. T. Higgins
- Dan Jackson
- Georgia Salanti
- Ian R. White
- W. Viechtbauer
- R. Riley
- Mike W.-L. Cheung
- J. Ensor
Citations in the corpus
- Meta‐analysis using individual participant data: one‐stage and two‐stage approaches, and why they may differ (2016, background): “are <1%, and when there are balanced experimental and control group sizes within trials [10,60].”
- Conducting Meta-Analyses in R with the metafor Package (2010, methodology): “In sparse data situations and under certain conditions, the method has been shown to produce the least biased results with the most accurate confidence interval coverages (Bradburn et al. 2007), but can also be quite biased in other situations (Greenland and Salvan 1990).”
- Random effects meta‐analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data (2010, background): “In such cases often continuity corrections are employed to prevent undefined or zero standard errors, but, if the events are rare in most of the individual studies included in the meta-analysis, the choice of the continuity correction can influence the results and conclusions [4, 5].”
- Methods to estimate the between‐study variance and its uncertainty in meta‐analysis† (2015, methodology): “…altogether and instead either use the FE model and the Mantel–Haenszel method for unbalanced group sizes or Peto’s method for balanced group sizes (Bradburn et al., 2007; Sweeting et al., 2004), or to switch to models/methods based on exact distributional assumptions (Kuss, 2014; Stijnen et…”
- Comparative Effectiveness and Safety of Medications for Type 2 Diabetes: An Update Including New Drugs and 2-Drug Combinations (2011, methodology): “For the outcome of hypoglycemia, we calculated pooled odds ratios by using the Peto method because sample sizes were balanced (18).”
- Cardiotoxicity of anthracycline agents for the treatment of cancer: Systematic review and meta-analysis of randomised controlled trials (2010, background): “When the outcome was rare in one or more studies ( 21 ].”