Quasi-Empirical Bayes Methodology for Improving Meta-Analysis
| Autor: | R. S. Hassanein, Khatab M. Hassanein, A. K. Md. Ehsanes Saleh, H. M. Kim |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Pharmacology
Statistics and Probability Bayes' rule Models Statistical Bayes Theorem Odds ratio Empirical Research Confidence interval Bayes' theorem Trustworthiness Meta-Analysis as Topic Data Interpretation Statistical Meta-analysis Statistics Outlier Confidence Intervals Odds Ratio Econometrics Humans Pharmacology (medical) Randomized Controlled Trials as Topic Mathematics |
| Zdroj: | Journal of Biopharmaceutical Statistics. 16:77-90 |
| ISSN: | 1520-5711 1054-3406 |
| DOI: | 10.1080/10543400500406553 |
| Popis: | This article addresses the problem of heterogeneity among various studies to be combined in a meta-analysis. We adopt quasi-empirical Bayes methodology to predict the odds ratios for each study. As a result, the predicted odds ratios are pulled toward the estimated common odds ratio of the various studies under consideration. With strong heterogeneity among the studies, we jointly consider the display of the 95% CIs of the ORs and a Dixon's test (1950) for “outliers” to exclude the “extreme” estimated ORs. We demonstrate the effectiveness of our methodology based on the data analyzed by Thompson and Pocock (1987) demonstrating the power of the new approach to meta-analysis to find statistical agreement in what looks like great disagreement via a chi-squared test. We believe our technique (i.e., minimum mean-square sense) will go a long way toward increasing the trustworthiness of meta-analysis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |