Metawin
Metawin: Statistical Software for Meta-Analysis with Resampling Tests. This manual shows you a statistical program that will allow you to summarize the results of multiple independent studies using either a fixed-effects model or mixed-effects model meta-analysis, and allow you to compare multiple classes using cumulative effect sizes and confidence intervals, as well as the between-class homogeneity, QB. The program also tests within-class homogeneity, QW, in the fixed-effects model, using chi-square. The program also allows for the direct input of an effect size by the user and the sampling variance of that effect size, for each study. This input allows the user to perform a meta-analysis on alternative measures of effect size (e.g., correlation coefficient, odds ratio, and so on). This program will also allow you to incorporate resampling tests into your meta-analysis. In particular, confidence intervals for mean effect sizes can be generated using 2 different bootstrap procedures (bootstrap confidence intervals and bias-corrected bootstrap confidence intervals). The program also allows you to refine your analysis by removing certain classes or studies from the analysis without having to alter the data file. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
Keywords for this software
References in zbMATH (referenced in 5 articles )
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Sorted by year (- Lifeng Lin; Jing Zhang; James Hodges; Haitao Chu: Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package (2017) not zbMATH
- Huang, Chiungjung: Achievement goals and self-efficacy: a meta-analysis (2016) MathEduc
- Byron Wallace; Issa Dahabreh; Thomas Trikalinos; Joseph Lau; Paul Trow; Christopher Schmid: Closing the Gap between Methodologists and End-Users: R as a Computational Back-End (2012) not zbMATH
- Wolfgang Viechtbauer: Conducting Meta-Analyses in R with the metafor Package (2010) not zbMATH
- Laroche, Patrice: Statistical exploration of publication bias (2007)