METHODS FOR TREND ESTIMATION FROM SUMMARIZED DOSE-RESPONSE DATA, WITH APPLICATIONS TO METAANALYSIS
METHODS FOR TREND ESTIMATION FROM SUMMARIZED DOSE-RESPONSE DATA, WITH APPLICATIONS TO METAANALYSIS
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DOI：
10.1093/oxfordjournals.aje.a116237
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发表时间：
1992-06-01
影响因子：
5
通讯作者：
LONGNECKER, MP
中科院分区：
文献类型：
--
作者：
GREENLAND, S;LONGNECKER, MP
荟萃分析通常需要汇总相关估计值，以计算不同暴露或治疗水平的回归斜率（趋势）。作者提出了两种解释相关性的方法，但仅需要研究的摘要估计和边际数据。这些方法比以前可用的方法提供了回归斜率，更准确的方差估计以及更有效的异质性测试的更有效估计。一种方法还允许估计非线性趋势成分，例如二次效应。作者说明了对酒精使用和乳腺癌的荟萃分析的这些方法。
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) across different exposure or treatment levels. The authors propose two methods that account for the correlations but require only the summary estimates and marginal data from the studies. These methods provide more efficient estimates of regression slope, more accurate variance estimates, and more valid heterogeneity tests than those previously available. One method also allows estimation of nonlinear trend components, such as quadratic effects. The authors illustrate these methods in a meta-analysis of alcohol use and breast cancer.