sensitivity-analysis

Name: sensitivity-analysis
Availability: InStock
Author: astoreyai

Community

Test robustness across analyses.

Data & Analytics #robustness #missing data #imputation #analysis variation #sensitivity

Authorastoreyai

Version1.0.0

Installs0

System Documentation

What problem does it solve?

This Skill helps assess how findings hold up to different analytical decisions and assumptions.

Core Features & Use Cases

Exclusion Analyses: Outlier or high-risk study removal effects.
Missing Data Scenarios: Complete-case, best/worst-case, multiple imputation.
Definition Variations: Test alternative outcome definitions and time points.

Quick Start

Conduct a one-study-removed analysis to evaluate robustness of the meta-analysis results.

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: sensitivity-analysis
Download link: https://github.com/astoreyai/ai_scientist/archive/main.zip#sensitivity-analysis

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

View Source Repository