Understanding Meta-Analysis Through Data Simulation With Applications to Power Analysis

被引:4
作者
Gambarota, Filippo [1 ]
Altoe, Gianmarco [1 ]
机构
[1] Univ Padua, Dept Dev & Social Psychol, Padua, Italy
关键词
meta-analysis; Monte Carlo simulations; power analysis; EFFECTS META-REGRESSION; CONFIDENCE-INTERVALS; HETEROGENEITY; TESTS;
D O I
10.1177/25152459231209330
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Meta-analysis is a powerful tool to combine evidence from existing literature. Despite several introductory and advanced materials about organizing, conducting, and reporting a meta-analysis, to our knowledge, there are no introductive materials about simulating the most common meta-analysis models. Data simulation is essential for developing and validating new statistical models and procedures. Furthermore, data simulation is a powerful educational tool for understanding a statistical method. In this tutorial, we show how to simulate equal-effects, random-effects, and metaregression models and illustrate how to estimate statistical power. Simulations for multilevel and multivariate models are available in the Supplemental Material available online. All materials associated with this article can be accessed on OSF (https://osf.io/54djn/).
引用
收藏
页数:18
相关论文
共 46 条
[31]  
Takkouche B, 1999, AM J EPIDEMIOL, V150, P206
[32]   Confidence Intervals for Heterogeneity Measures in Meta-analysis [J].
Takkouche, Bahi ;
Khudyakov, Polyna ;
Costa-Bouzas, Julian ;
Spiegelman, Donna .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2013, 178 (06) :993-1004
[33]  
van den Heuvel ER, 2022, Arxiv, DOI arXiv:2009.06305
[34]  
van Erp S. J., 2017, Journal of Open Psychology Data, V5, DOI DOI 10.5334/JOPD.33
[35]   Data analysis using regression and multi-level/hierarchical models [J].
Vaughn, Brandon K. .
JOURNAL OF EDUCATIONAL MEASUREMENT, 2008, 45 (01) :94-97
[36]   Bias and efficiency of meta-analytic variance estimators in the random-effects model [J].
Viechtbauer, W .
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2005, 30 (03) :261-293
[37]  
Viechtbauer W., Fixed-effects and random-effects models in meta-analyses
[38]  
Viechtbauer W., Some recommended practices
[39]  
Viechtbauer W., 2022, Meta-regression models with or without an intercept
[40]  
Viechtbauer W., 2023, Confidence Intervals for the Amount of Heterogeneity Accounted for in MetaRegression Models