Individual skill
vaccine-effectiveness
Estimating vaccine effectiveness from observational data — test-negative designs, cohorts, and bias control.
skills/vaccine-effectiveness/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 54
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- data Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 5,046 bytes
Read excerpt
## Overview
vaccine-effectiveness covers how to estimate how well vaccines work in the real world (as opposed
to efficacy in trials): the test-negative design, cohort and case-control approaches, and the
biases — confounding by health-seeking behavior, time-varying confounding, depletion of
susceptibles — that make naive estimates misleading.
VE = 1 − (risk in vaccinated / risk in unvaccinated), usually as 1 − odds ratio or 1 − hazard
ratio. Simple formula, treacherous estimation.
## When to use
- Test-negative design studies (the workhorse for influenza, COVID VE).
- Cohort VE studies from EHR/registry data.