panel-estimand-audit

Validate estimand definitions, eligibility rules, and denominators in panel studies.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/stephendor/TDL --skill panel-estimand-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: panel-estimand-audit
Source: https://github.com/stephendor/TDL/tree/main/.agents/skills/panel-estimand-audit
Command: npx skills add https://github.com/stephendor/TDL --skill panel-estimand-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies and flags discrepancies in estimand statements across panel/longitudinal analyses, ensuring consistency and reliability.

Core Features & Use Cases

  • Estimand Verification: Checks if the estimand is explicitly stated and stable across reruns.
  • Rule Alignment: Ensures the inclusion rule matches the estimand definition.
  • Denominator Validation: Confirms that the denominator aligns with the estimand's population.
  • Use Case: When running a panel analysis and noticing a change in the estimand after reruns, use this Skill to verify its stability and alignment with rules.

Quick Start

Run the 'panel-estimand-audit' skill on the latest rerun results to verify estimand stability.

Frequently Asked Questions about panel-estimand-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify estimand stability in a longitudinal panel analysis?

Denominator validation in panel studies confirms that the analysis denominator strictly aligns with the estimand's target population, preventing inaccurate comparisons and skewed results over time.

Why does my panel analysis estimand change after rerunning the model?

Estimands in panel analysis may change after a rerun due to discrepancies between estimand specifications and actual execution, which an estimand audit detects by flagging inconsistent definitions.

How do I check if my inclusion rules match the estimand definition in panel data?

Checking if inclusion rules match the estimand definition in panel data requires a rule alignment audit to ensure eligibility criteria consistently reflect the intended treatment effect population.

What is an estimand audit and when do I need it for longitudinal studies?

An estimand audit is a validation process for longitudinal studies that identifies and flags discrepancies in estimand statements, ensuring consistency and reliability across panel analyses over time.

Can I detect discrepancies between estimand specifications and analysis execution automatically?

Yes, you can detect discrepancies between estimand specifications and analysis execution automatically by running a panel estimand audit to validate the consistency of definitions and eligibility rules.