Abstract
The paper presents some models for the propensity score. Considerable attention is given to a recently popular, but relatively under-explored setting in causal inference where the no-interference assumption does not hold. We lay out some key challenges in propensity score modeling under interference and present a few promising models based on existing works on mixed effects models.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 43-53 |
| Number of pages | 11 |
| Journal | Observational Studies |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
Keywords
- Interference
- Mixed effects models
- Modeling
- Propensity score
ASJC Scopus subject areas
- Statistics and Probability
- Numerical Analysis
- Modeling and Simulation
- Computer Science Applications
- Applied Mathematics