ipd-meta-analysis
CommunityMaster IPD meta-analysis with patient data.
Data & Analytics#meta-analysis#survival-analysis#time-to-event#random-effects#ipd#mixed-effects#data-harmonization
Authormatheus-rech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
IPD meta-analysis uses raw participant-level data from multiple studies to provide more precise, flexible analyses than aggregate data, enabling exploration of time-to-event outcomes and treatment-effect modifiers.
Core Features & Use Cases
- One-stage IPD modeling with hierarchical random effects and flexible covariate adjustment
- Time-to-event analyses (stratified Cox and frailty models)
- Exploration of treatment-effect modifiers and missing-data strategies
- Data harmonization and reproducible workflow across studies
Quick Start
Provide your IPD dataset (study_id, time, event, outcome, treatment, covariates) and request an end-to-end IPD meta-analysis plan.
Dependency Matrix
Required Modules
None requiredComponents
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: ipd-meta-analysis Download link: https://github.com/matheus-rech/meta-agent-mobile/archive/main.zip#ipd-meta-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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