Meta-analysis 从相关研究中整合定量数据,并产生能够总结研究整体的结果。例如某些研究汇总risk ratio,然后统计生成summary estimate of the treatment effect。 Meta-analyses使用fixed effect或random effects统计模型。fixed effect meta-analysis假定所有研究都估计固定的treatment effect,然而random effects meta-analysis允许...
Meta-analysis里面的FE和RE分别对应于HLM的“固定斜率”和“随机斜率”,不过这里的“斜率”应理解为元分析不同Study的效应量。效应量本身可以看做是Level 1的斜率,而效应量的标准误则对应于Level 1(组内)的残差。总体来说,Meta-analysis大多采用RE模型(即HLM的随机斜率模型)。 参考文献 Borenstein, M., Hedges,...
Meta-analysis is a statistical technique for combining results from multiple independent studies, with the aim of estimating a single overall effect. The routines in this package provide facilities to conduct meta-analyses of binary (event) or continuous data from two groups, or intervention effect ...
Two reviewers extracted data, which were aggregated usingrandom-effectsmodels. 由两名评论员通过随机效应模型提取数据。 3. Then, for each available comparison, we conducted arandom-effectsmeta-analysis. 对于每一项可取得的比较项目,我们进行随机效应统合分析。
Random-effects meta-analysis Meta-analysis is very commonly performed via a random- effects approach, utilizing the normal-normal hierarchical model. Here the data are given in terms of a number k of estimates y i ∈ R that are associated with some uncer- tainty given through standard errors...
mvmeta: Stata module to perform multivariate random-effects meta-analysis Author: Ian White Version: 4.0 Date: 7apr2022 This package includes the mvmeta_make command which prepares data for mvmeta. mvmeta_make version: 4.1, date 27jul2023 What's new in version 4 mvmeta_make: a prefix syn...
A random-effects regression model for meta-analysis. Many meta-analyses use a random-effects model to account for heterogeneity among study results, beyond the variation associated with fixed effects. A random-effects regression approach for the synthesis of 2 x 2 tables allows the inclusi... CS...
Campbel lCol laborationCol loquium–August2011 campbel lcol laborationorgixed and Random Effects Models in Meta-analysis How do we choose among fixed and random effects modelshen conducting a meta-analysis? Common question asked by reviewers working on systematiceviews that include a meta-analysis...
Background The DerSimonian and Laird approach (DL) is widely used for random effects meta-analysis, but this often results in inappropriate type I error rates. The method described by Hartung, Knapp, Sidik and Jonkman (HKSJ) is known to perform better when trials of similar size are combine...
awhataya want from me whataya从我要[translate] afunctional 功能[translate] aFindings of random effects meta-analyses comparing dipeptidyl peptidase-4 (DPP-4) inhibitors with active comparators on safety outcomes 正在翻译,请等待...[translate]