| 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
- Quick sample size estimates for grant proposals
- Preliminary study design calculations
- Educational purposes for statistics training
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
- Required sample size per group
- Total sample size
- Statistical assumptions summary
Example
Input: Two-sample t-test, alpha=0.05, power=0.80, effect_size=0.5
Output: n=64 per group, total=128 subjects
Risk 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
