Simultaneous treatment effect estimation and variable selection for observational data
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, KAIST, Daejeon, South Korea
2. School of Computing, KAIST, Daejeon, South Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2024.2330085
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3. Big Data and Machine Learning in Health Care
4. Trends and Focus of Machine Learning Applications for Health Research
5. Variable Selection for Propensity Score Models
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