Pearl Bareinboim 2014 - External Validity and Transportability
Routing Summary
This folder fully captures Pearl and Bareinboim (2014), External Validity: From Do-Calculus to Transportability Across Populations (Statistical Science 29(4): 579-595): selection diagrams, the formal definition of transportability, Theorem 1 (do-calculus criterion), Theorems 2-3 with S-admissibility, Corollaries 1-2, Examples 1-10, the transport formulas (3.1)-(3.4), (5.9), (5.10) and their appendix derivations. 8 notes plus this index, with a marketing reading and runnable checks.
- Need the paper on one page or the section-to-note map? → Pearl Bareinboim 2014 - External Validity and Transportability - Overview
- Need SEM, , identifiability, d-separation or the three do-calculus rules? → Pearl 2014 - Threats vs Licenses and SCM Preliminaries
- Need the LA-to-NYC examples and Eqs. 3.1-3.4? → Pearl 2014 - Motivating Examples and Transport Formulas
- Need Definition 4 (selection diagram), Definitions 5-7, Theorem 1? → Pearl 2014 - Selection Diagrams and Definition of Transportability
- Need S-admissibility, Theorems 2-3, Corollaries 1-2, Examples 7-10? → Pearl 2014 - S-Admissibility and the Graphical Criterion
- Need the step-by-step derivation of Eqs. 5.9 and 5.10? → Pearl 2014 - Appendix Derivations of Transport Formulas
- Need limits, meta-transportability, and the comparison with meta-analysis? → Pearl 2014 - Conclusions, Extensions and Limits
- Need to transport a geo or lift result to a new market (worked numbers)? → Pearl 2014 - Marketing Application Transporting Geo and Lift Results
Concept Map
| Concept | Note | Type | Depends On | Key Result |
|---|---|---|---|---|
| Structural equation model | Pearl 2014 - Threats vs Licenses and SCM Preliminaries | definition | Directed Acyclic Graphs | with |
| Identifiability | Pearl 2014 - Threats vs Licenses and SCM Preliminaries | definition | SEM | |
| d-separation | Pearl 2014 - Threats vs Licenses and SCM Preliminaries | definition | DAG | blocking of paths |
| Do-calculus Rules 1-3 | Pearl 2014 - Threats vs Licenses and SCM Preliminaries | theorem | d-separation | complete for |
| Transport formula (3.1) | Pearl 2014 - Motivating Examples and Transport Formulas | example | Rules | |
| Transport formula (3.4), surrogate | Pearl 2014 - Motivating Examples and Transport Formulas | example | (3.1) | |
| Selection diagram (Def. 4) | Pearl 2014 - Selection Diagrams and Definition of Transportability | definition | SEM | where mechanisms may differ |
| Transportability (Def. 5) | Pearl 2014 - Selection Diagrams and Definition of Transportability | definition | Def. 4, identifiability | computable from |
| Trivial / direct transportability (Defs. 6-7) | Pearl 2014 - Selection Diagrams and Definition of Transportability | definition | Def. 5 | identifiable in target / |
| Theorem 1 | Pearl 2014 - Selection Diagrams and Definition of Transportability | theorem | Rules | only as conditioning in do-free terms |
| S-admissibility (Def. 8), Theorem 2, Corollaries 1-2 | Pearl 2014 - S-Admissibility and the Graphical Criterion | theorem | Thm 1 | licenses reweighting |
| Theorem 3 (three conditions) | Pearl 2014 - S-Admissibility and the Graphical Criterion | theorem | Thm 2 | recursive, sufficient, not complete |
| Derivations of (5.9), (5.10) | Pearl 2014 - Appendix Derivations of Transport Formulas | example | Thm 3 | what to measure where |
| Meta-transportability, caveats | Pearl 2014 - Conclusions, Extensions and Limits | concept | all | worst-case nonparametric licenses |
Notes
- Pearl Bareinboim 2014 - External Validity and Transportability - Overview — CONTAINS: research question, contributions, key result, full Source Map (every section, Definition, Theorem, Figure to note).
- Pearl 2014 - Threats vs Licenses and SCM Preliminaries — CONTAINS: Sec. 1 motivation; inference-engine inputs/outputs; Definitions 1-3; Rules 1-3; Manski footnote; Python d-separation test.
- Pearl 2014 - Motivating Examples and Transport Formulas — CONTAINS: Examples 1-3; Eqs. 3.1-3.4; proxy analysis; surrogate endpoint; numeric check and Python.
- Pearl 2014 - Selection Diagrams and Definition of Transportability — CONTAINS: Definition 4-7; Theorem 1 with proof; Examples 4-6; Manski remark; hierarchy of transport notions.
- Pearl 2014 - S-Admissibility and the Graphical Criterion — CONTAINS: Theorems 2-3 with proofs (Eqs. 5.1-5.7); Definition 8; Corollaries 1-2; Examples 7-10; limits; Python S-admissibility check.
- Pearl 2014 - Appendix Derivations of Transport Formulas — CONTAINS: line-by-line derivations of (5.9) and (5.10) with justifications; Monte Carlo verification.
- Pearl 2014 - Conclusions, Extensions and Limits — CONTAINS: worst-case character; statistical transportability; relation to meta-analysis; limited experiments and meta-transportability; caveats; checklist.
- Pearl 2014 - Marketing Application Transporting Geo and Lift Results — CONTAINS: mapping table; market-mix worked example (1.40 vs 0.96); mediator example (3.2 vs 2.3); checks before reporting.
Sources
- Pearl 2014 - External Validity From Do-Calculus to Transportability — Pearl J and Bareinboim E (2014), Statistical Science 29(4): 579-595 (arXiv 1503.01603), the sole source. The marketing note is interpretation.
See Also
- Bareinboim Pearl 2016 - Causal Inference and Data Fusion - Overview — PNAS survey placing this paper in a unified taxonomy.
- Degtiar Rose 2023 - Generalizability and Transportability Review - Overview — potential-outcomes review with estimators.
- Directed Acyclic Graphs, DAGs and Causal Identification, Do-Calculus in Summary Causal DAGs, Geo-Experiment Methodology - Overview.