Random effects models for combining results from controlled and uncontrolled studies in a meta-analysis Journal Article
| Authors: | Li, Z.; Begg, C. B. |
| Article Title: | Random effects models for combining results from controlled and uncontrolled studies in a meta-analysis |
| Abstract: | A random effects model is used to analyze meta-analyses containing both controlled and uncontrolled studies. A noniterative estimator of the treatment effect is derived using least squares, with the between-study variance substituted by an empirical Bayes estimator. The estimator is shown to be strongly consistent when the between-study variance is known, and the variance estimator is also shown to be strongly consistent. The estimator is shown to have desirable heuristic properties. © 1994 Taylor & Francis Group, LLC. |
| Keywords: | consistent estimator; empirical bayes estimator |
| Journal Title: | Journal of the American Statistical Association |
| Volume: | 89 |
| Issue: | 428 |
| ISSN: | 0162-1459 |
| Publisher: | American Statistical Association |
| Date Published: | 1994-12-01 |
| Start Page: | 1523 |
| End Page: | 1527 |
| Language: | English |
| DOI: | 10.1080/01621459.1994.10476892 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Also available with DOI: 10.2307/2291015 -- Export Date: 14 January 2019 -- Article -- Source: Scopus |
