The implications of publication bias for meta-analysis' other parameter
The implications of publication bias for meta-analysis' other parameter
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DOI：
10.1002/sim.2293
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发表时间：
2006-09-15
影响因子：
2
通讯作者：
Jackson, Dan
中科院分区：
文献类型：
--
作者：
Jackson, Dan
也许对荟萃分析有效性的最大威胁是发表偏倚的可能性，即有趣或具有统计意义的研究比那些结果不太令人鼓舞的研究更有可能发表。特别是，人们担心这种偏见可能是“单方面的”，即表明治疗有益的研究发表的可能性更大。这种类型的偏差对治疗效果估计的影响受到了广泛关注，但这也对研究间方差的估计产生了影响。使用阶跃函数对偏差进行建模可以证明，当存在发表偏差的可能性时，不可能对我们应该如何修改研究间方差的估计进行概括。为了确定这一点，必须对偏差所采取的形式做出假设，而这在实践中是未知的。版权所有 (c) 2005 John Wiley & Sons, Ltd.
Perhaps the greatest threat to the validity of a meta-analysis is the possibility of publication bias, where studies that are interesting or statistically significant are more likely to be published than those with less encouraging results. In particular, there is the concern that this bias might be 'one-sided', where studies indicating that the treatment is beneficial have a greater probability of publication. The impact that this type of bias has on the estimate of treatment effect has received a great deal of attention but this also has implications for estimates of between-study variance. Using step functions to model the bias it can be demonstrated that it is impossible to make generalizations concerning how we should revise estimates of between-study variance when presented with the possibility of publication bias. To determine this, assumptions must be made concerning the form that the bias takes, which is unknown in practice. Copyright (c) 2005 John Wiley & Sons, Ltd.