π¦ ClawHub
Sample Size (Basic)
by @aipoch-ai
Basic sample size calculator for clinical research planning with common statistical scenarios
TERMINAL
clawhub install sample-size-basicπ About This Skill
name: sample-size-basic description: Basic sample size calculator for clinical research planning with common statistical scenarios version: 1.0.0 category: Utility tags: [] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'
Sample Size (Basic)
Basic sample size estimation for clinical research planning.
Use Cases
Parameters
test_type: Type of test (t_test, chi_square, proportion)alpha: Significance level (default 0.05)power: Statistical power (default 0.80)effect_size: Expected effect sizebaseline_rate: Baseline proportion (for proportion tests)Returns
Example
Input: Two-sample t-test, alpha=0.05, power=0.80, effect_size=0.5 Output: n=64 per group, total=128 subjectsRisk Assessment
| Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |
Security Checklist
Prerequisites
# Python dependencies
pip install -r requirements.txt
Evaluation Criteria
Success Metrics
Test Cases
1. Basic Functionality: Standard input β Expected output 2. Edge Case: Invalid input β Graceful error handling 3. Performance: Large dataset β Acceptable processing timeLifecycle Status
β‘ When to Use
π‘ Examples
Input: Two-sample t-test, alpha=0.05, power=0.80, effect_size=0.5 Output: n=64 per group, total=128 subjects
βοΈ Configuration
# Python dependencies
pip install -r requirements.txt