Everything about Meta-regression
Statistical tool used in meta-analyses
Meta-regression is a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting for the effects of available covariates on a response variable. A meta-regression analysis aims to reconcile conflicting studies or corroborate consistent ones; a meta-regression analysis is therefore characterized by the collated studies and their corresponding data sets—whether the response variable is study-level data or individual participant data. A data set is aggregate when it consists of summary statistics such as the sample mean, effect size, or odds ratio. On the other hand, individual participant data are in a sense raw in that all observations are reported with no abridgment and therefore no information loss. Aggregate data are easily compiled through internet search engines and therefore not expensive. However, individual participant data are usually confidential and are only accessible within the group or organization that performed the studies. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Meta-regressionA 5-minute orientation
- Skim a recent paper: Duration of effectiveness of vaccines against SARS-CoV-2 infection and COVID-19 disease: results of a systematic review and meta-regressionInfluential work since 2022
- Pick up a classic book: Meta-regression approachesThe most-reprinted book on the subject
- Read the landmark paper: Advanced methods in meta‐analysis: multivariate approach and meta‐regressionCited 1,346 times
- Go sideways: Meta-analysisA closely related topic
- Go sideways: Study heterogeneityA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Advanced methods in meta‐analysis: multivariate approach and meta‐regression
Meta-Regression in Stata
Understanding heterogeneity in meta-analysis: the role of meta-regression
Diabetes patient education: a meta-analysis and meta-regression
The robust error meta-regression method for dose–response meta-analysis
Widowhood and Mortality: A Meta-Analysis and Meta-Regression
Marital status integration and suicide: A meta-analysis and meta-regression
Early Post-stroke Depression and Mortality: Meta-Analysis and Meta-Regression
🆕 Influential since 2022
Duration of effectiveness of vaccines against SARS-CoV-2 infection and COVID-19 disease: results of a systematic review and meta-regression
Temporal trends in sperm count: a systematic review and meta-regression analysis of samples collected globally in the 20th and 21st centuries
Protective effectiveness of previous SARS-CoV-2 infection and hybrid immunity against the omicron variant and severe disease: a systematic review and meta-regression
Application of Standardized Regression Coefficient in Meta-Analysis
Digital training for building resilience: Systematic review, meta‐analysis, and meta‐regression
📚 Books worth reading
- 📕Meta-regression approachesSally C. Morton, Paul G. Shekelle · 2004
Integrated Metaregression Framework For Descriptive EpidemiologyAbraham Flaxman · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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- Combinatorial meta-analysis Combinatorial meta-analysis (CMA) is the study of the behaviour of statistical properties of combinations of studies from a meta-analytic dataset (typically…