Meta-analysis: publication bias and small-study effects — advanced theory

Introduction

What this guide covers

Asymptotic theory, rigorous mathematical formulations, non-parametric estimation algorithms, parametric selection models and control of heterogeneity in meta-analysis.

Overview

Topics covered

• Introduction
• Publication Bias and Effects of Small Studies
• Phenomenology of Publication Biases and Effects of Small Studies
• Small-study effects (Small-Study Effects)
• Effect Size Statistical Framework
• Funnel Plot Theory and Geometry

Related concepts

Main connections

• Skewness & kurtosis
• Variance & standard deviation
• Meta-analysis & heterogeneity
• Survey sampling methods
• Maximum likelihood estimation
• Linear regression

Compatible notation

Mathematical sample in LaTeX

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