Accurate treatment effect estimation using inverse probability of treatment weighting with deep learning

Deep sequence models enable accurate treatment effect estimation through IPTW without the need for feature processing.

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Publication Details

Journal
JAMIA Open
Published
2025-03-06
DOI
https://doi.org/10.1093/jamiaopen/ooaf032
Citations
2
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
5.26

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article

Accurate treatment effect estimation using inverse probability of treatment weighting with deep learning

Nicoleta Serban, Junghwan Lee, Simin Ma, Shihao Yang
2 citations
JAMIA Open
Advanced Causal Inference Techniques
5.26
article

Accurate treatment effect estimation using inverse probability of treatment weighting with deep learning

Nicoleta Serban, Junghwan Lee, Simin Ma, Shihao Yang
article en
2 citations

Abstract

Deep sequence models enable accurate treatment effect estimation through IPTW without the need for feature processing.

JAMIA OpenVol. 8(2)
Georgia Institute of Technology (US)
National Institutes of Health
Openalex Percentile: Top 5%
Advanced Causal Inference Techniques
5.26
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