Selecting intervals to optimize the design of observational studies subject to fine balance constraints
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Publication:6126816
DOI10.1007/s10878-024-01116-yOpenAlexW4393356990MaRDI QIDQ6126816
Publication date: 10 April 2024
Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10878-024-01116-y
Cites Work
- Unnamed Item
- Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies
- Matching methods for causal inference: a review and a look forward
- Weighted matching with pair restrictions
- Network flow methods for the minimum covariate imbalance problem
- Complexity and Approximation Results for the Balance Optimization Subset Selection Model for Causal Inference in Observational Studies
- Assignment Mechanisms Under Distributional Constraints
- Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer
- Observational studies.
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