Meta-analysis: Formulating, evaluating, combining, and reporting
Meta-analysis: Formulating, evaluating, combining, and reporting
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DOI：
10.1002/(sici)1097-0258(19990215)18:3
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发表时间：
1999-02-15
影响因子：
2
通讯作者：
Normand, SLT
中科院分区：
文献类型：
--
作者：
Normand, SLT
荟萃分析涉及结合相关但独立研究的摘要信息。荟萃分析的目标包括提高检测总体治疗效果的能力、估计与特定研究治疗相关的获益程度、评估研究之间的变异量或识别与特别有效的治疗相关的研究特征。本文为具有数理统计背景的任何人提供了荟萃分析教程。讨论了文献的检索策略和审阅方法。重点是估计感兴趣参数的分析方法。讨论了三种推理模式：最大似然；限制最大似然法和贝叶斯法。最后，演示了使用受限最大似然和完全贝叶斯方法进行推理的软件。使用两个例子来说明方法：评估心脏病发作后预防性使用利多卡因的死亡率，以及比较两种不同治疗方案下中风患者的住院时间。版权所有 (C) 1999 John Wiley & Sons, Ltd.
Meta-analysis involves combining summary information from related but independent studies. The objectives of a meta-analysis include increasing power to detect an overall treatment effect, estimation of the degree of benefit associated with a particular study treatment, assessment of the amount of variability between studies, or identification of study characteristics associated with particularly effective treatments. This article presents a tutorial on meta-analysis intended for anyone with a mathematical statistics background. Search strategies and review methods of the literature are discussed. Emphasis is focused on analytic methods for estimation of the parameters of interest. Three modes of inference are discussed: maximum likelihood; restricted maximum likelihood, and Bayesian. Finally, software for performing inference using restricted maximum likelihood and fully Bayesian methods are demonstrated. Methods are illustrated using two examples: an evaluation of mortality from prophylactic use of lidocaine after a heart attack, and a comparison of length of hospital stay for stroke patients under two different management protocols. Copyright (C) 1999 John Wiley & Sons, Ltd.