https://scholars.lib.ntu.edu.tw/handle/123456789/521800
標題: | Evaluation of the Normality Assumption in Meta-Analyses | 作者: | CHIA-CHUN WANG WEN-CHUNG LEE |
公開日期: | 2020 | 出版社: | Oxford University Press | 卷: | 189 | 期: | 3 | 起(迄)頁: | 235-242 | 來源出版物: | American Journal of Epidemiology | 摘要: | Random-effects meta-analysis is one of the mainstream methods for research synthesis. The heterogeneity in meta-analyses is usually assumed to follow a normal distribution. This is actually a strong assumption, but one that often receives little attention and is used without justification. Although methods for assessing the normality assumption are readily available, they cannot be used directly because the included studies have different within-study standard errors. Here we present a standardization framework for evaluation of the normality assumption and examine its performance in random-effects meta-analyses with simulation studies and real examples. We use both a formal statistical test and a quantile-quantile plot for visualization. Simulation studies show that our normality test has well-controlled type I error rates and reasonable power. We also illustrate the real-world significance of examining the normality assumption with examples. Investigating the normality assumption can provide valuable information for further analysis or clinical application. We recommend routine examination of the normality assumption with the proposed framework in future meta-analyses. ? 2019 The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084694434&doi=10.1093%2faje%2fkwz261&partnerID=40&md5=8b549e3fdc4885d74d6dc2e31e127f13 https://scholars.lib.ntu.edu.tw/handle/123456789/521800 |
ISSN: | 0002-9262 | DOI: | 10.1093/aje/kwz261 | SDG/關鍵字: | cause of death; epidemiology; meta-analysis; numerical model; public health; quantitative analysis; article; attention; controlled study; human; medical examination; meta analysis; normal distribution; simulation; standardization; synthesis; meta analysis (topic); normal distribution; Meta-Analysis as Topic; Normal Distribution |
顯示於: | 流行病學與預防醫學研究所 |
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