Publication and related bias in meta-analysis: Power of statistical tests and prevalence in the literature
β Scribed by Jonathan A.C Sterne; David Gavaghan; Matthias Egger
- Book ID
- 117596832
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 282 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0895-4356
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
this Book Combines The Authors' Experiences On The Topic And Brings Out A Wealth Of New Information Relevant To The Study Of Meta-analysis. Applications Ranging From Business To Education To Environment To Health Sciences In Both Univariate And Multivariate Cases Are Presented Alongside And Subservi
As has been mentioned earlier, meta-analysis of results from different experiments or studies is quite common these days. However, as has been emphasized, it is equally important to make sure that the underlying effect sizes arising out of these experiments are indeed homogeneous before performing a