Advanced Meta-Analysis

The Computational Laboratory

Author

A. C. Del Re, PhD

The Lab OS.

“Stop writing about your data. Let the data write the paper.”

This is not a textbook. It is a Computational Platform for modern research synthesis. Designed for elite labs moving beyond point-and-click legacy software.

  • Standardized Workflows: Reproducible R pipelines.
  • Living Science: Inline code execution via WebR.
  • Zero Setup: Runs entirely in the browser.

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System Modules

01. Foundations

The Logic & The Language Master R vector arithmetic and the Schmidt (1992) simulation to understand why “Vote Counting” fails.

02. The Protocol

Data Preparation & Calculation From inclusion criteria to precise Cohen’s \(d\) and Hedges’ \(g\) formulas using compute.es.

03. Aggregation

Handling Dependencies Solve the “Double-Counting” problem using MAd::agg() for multiple outcomes.

04. Modeling

Fixed vs Random Effects The core engine. Understand \(\tau^2\), \(I^2\), and Heterogeneity.

05. Moderators

Meta-Regression Explain variance using Categorical and Continuous predictors.

🖥️ System Status

WebR Engine: Initializing… (If this stays “Initializing” for >10s, please use a local server instead of double-clicking the file.)