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data-extraction

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Convert study data into ready-to-analyze inputs.

Data & Analytics#meta-analysis#data-extraction#effect-size#data-preparation#metafor#missing-data#escalc
Authormatheus-rech
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The skill helps researchers convert study data into analyzable effect sizes and variances for meta-analysis, reducing manual calculation errors and time.

Core Features & Use Cases

  • Data extraction and conversion from binary and continuous outcomes to common metrics (OR, RR, SMD, MD).
  • Automated variance estimation and handling of missing data for incomplete reports.
  • Use Case: Given a set of studies with mixed reporting formats, convert to standardized effect sizes and prepare a ready-to-analyze dataset for R metafor pipelines.

Quick Start

Input a study dataset and run the data-extraction workflow to generate standardized effect sizes and variances.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-extraction
Download link: https://github.com/matheus-rech/meta-agent-mobile/archive/main.zip#data-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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