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Use of quality control charts for detection of outliers and temporal trends in cumulative meta-analysis.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kulinskaya, Elena Koricheva, Julia |
| Copyright Year | 2010 |
| Abstract | Cumulative meta-analysis (CMA) aims to aggregate accumulating evidence. Essentially a visual tool, CMA should be supplemented by formal statistical methods for assessment of the significance of the accumulating evidence, and for detection of temporal trends in effect sizes. These methods should also take into account multiple testing inherent in CMA. We review the existing methods for detection of temporal trends in effect sizes and suggest a new approach, namely the use of standard quality control (QC) charts, in particular X charts and CUSUM charts, to detect possible outliers and trends over time. We discuss the application of the QC charts to four popular measures of effect size: the odds ratios, the relative risks, the correlation coefficients and the standardized mean differences. Applications of QC charts are illustrated by three meta-analysis examples from medicine, ecology and evolutionary biology. Copyright © 2011 John Wiley & Sons, Ltd. |
| Starting Page | 297 |
| Ending Page | 307 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| DOI | 10.1002/jrsm.29 |
| Alternate Webpage(s) | http://psych.colorado.edu/~willcutt/pdfs/Kulinskaya_2011.pdf |
| PubMed reference number | 26061473 |
| Alternate Webpage(s) | https://doi.org/10.1002/jrsm.29 |
| Journal | Medline |
| Volume Number | 1 |
| Issue Number | 3-4 |
| Journal | Research synthesis methods |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
