Meta‐analysis and mega‐analysis: A simple introduction
Joseph G. Eisenhauer
Abstract
Abstract Statistical methods are increasingly being used to integrate findings from the ever‐expanding universe of empirical research. Meta‐analysis encompasses various techniques for synthesizing summary statistics, and mega‐analysis pools raw data across studies. This paper offers an introduction to meta‐analysis and mega‐analysis that complements the study of analysis of variance (ANOVA). After a brief conceptual discussion, we provide simple numerical examples.
Topics & Concepts
Mega-Simple (philosophy)Computer scienceStatistical analysisMeta-analysisVariance (accounting)Raw dataEconometricsData scienceStatisticsManagement scienceMathematicsEngineeringEpistemologyEconomicsMedicineAstronomyPhysicsAccountingInternal medicinePhilosophyData Analysis with RSports Analytics and PerformanceStatistical Methods in Clinical Trials