Chapter 10 “Multilevel” Meta-Analysis

W elcome to the advanced methods section. In the previous part of the guide, we took a deep dive into topics that we consider highly relevant for almost every meta-analysis. With this background

A solution to dependency: using multilevel analysis to accommodate nested data

Unnecessary reliance on multilevel modelling to analyse nested data in neuroscience: When a traditional summary-statistics approach suffices - ScienceDirect

Chapter 10 “Multilevel” Meta-Analysis

Doing-Meta-Analysis-in-R/90-appendix.Rmd at master · MathiasHarrer/Doing-Meta-Analysis-in-R · GitHub

Chapter 10 “Multilevel” Meta-Analysis

Welcome! Doing Meta-Analysis in R

68 questions with answers in HAZARD RATIO

1568 questions with answers in META-ANALYSIS

Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology, BMC Biology