random effects meta-analysis 在不同研究中给出了treatment effects分布的平均值,random-effects meta analysis模型假定每个研究中的treatment effect存在真实的差异以及取样偶然(chance)这两方面因素导致观察到treatment effect不同。 treatment effect:A 'treatment effect' is the average causal effect of a binary (0...
(1)Snijders & Bosker, 2012, pp. 43–48《Multilevel analysis: An introduction to basic and advanced multilevel modeling(2nd ed.)》 (2)温福星, 2009, pp. 272–286《阶层线性模型的原理与应用》 3 / 方差分析(ANOVA) ANOVA既可以是GLM的特例,也可以是HLM的特例。 在大多数情况下,被试间、被试内、...
meta mvregress performs both random-effects and fixed-effects multivari- ate meta-regression with various covariance structures and estimation methods for the random effects. meta mvregress is a stand-alone command in the sense that it does not require you to declare your data as meta data ...
Random‐effects meta‐analysis: the number of studies matters. Stat Methods Med Res. 2017;26(3):1500‐1518.Guolo, A., Varin, C., 2017. Random-effects meta-analysis: the number of studies matters. Stat. Methods Med. Res. 26, 1500-1518. http://dx.doi.org/10.1177/ 0962...
If you wish to fit multilevel meta-analysis models with random intercepts only, see [META] meta multilevel for an alternative command with a simpler syntax. meta meregress performs random-effects (RE) multilevel meta-regression with various covariance structures and estimation methods for the ...
Background When multiple endpoints are of interest in evidence synthesis, a multivariate meta-analysis can jointly synthesise those endpoints and utilise their correlation. A multivariate random-effects meta-analysis must incorporate and estimate the between-study correlation (??B). Methods In this paper...
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...
There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that ...
For the Mantel-Haenszel and Peto common-effect models, between-subgroup heterogeneity is handled as described above for random-effects models Differences from Stata 16's "meta" suite In June 2019, Stata version 16 introduced a suite of built-in meta-analysis commands, with the prefixmeta. Forest...
In this article, we study a Bayesian hierarchical approach to estimation and testing in meta-analysis of rare binary events using the random effects model in Bhaumik et al. We develop Bayesian estimators of the treatment effect and the heterogeneity parameter, as well as hypothesis testing methods...