Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies
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Publication:5066745
DOI10.1080/10618600.2020.1753532OpenAlexW3016505480MaRDI QIDQ5066745
José R. Zubizarreta, Magdalena Bennett, Juan Pablo Vielma
Publication date: 30 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1810.06707
observational studiescausal inferencepropensity scoreoptimal matchingmulti-valued treatmentrepresentative study
Related Items
Graded Matching for Large Observational Studies ⋮ Outcome-adjusted balance measure for generalized propensity score model selection ⋮ Causal inference for multiple treatments using fractional factorial designs ⋮ Polymatching algorithm in observational studies with multiple treatment groups ⋮ Network flow methods for the minimum covariate imbalance problem
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Cites Work
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- Matching methods for causal inference: a review and a look forward
- For objective causal inference, design trumps analysis
- Estimation of causal effects with multiple treatments: a review and new ideas
- Combinatorial optimization. Polyhedra and efficiency (3 volumes)
- A brief history of linear and mixed-integer programming computation
- Stronger instruments via integer programming in an observational study of late preterm birth outcomes
- Isolation in the construction of natural experiments
- Matching for balance, pairing for heterogeneity in an observational study of the effectiveness of for-profit and not-for-profit high schools in Chile
- Mixed Integer Linear Programming Formulation Techniques
- Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes
- Complexity and Approximation Results for the Balance Optimization Subset Selection Model for Causal Inference in Observational Studies
- The perfectly matchable subgraph polytope of a bipartite graph
- On the Failure of the Bootstrap for Matching Estimators
- The central role of the propensity score in observational studies for causal effects
- Sensitivity analysis for certain permutation inferences in matched observational studies
- Model-Based Direct Adjustment
- Nonparametric Multiple Comparison Procedures
- Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse
- The role of the propensity score in estimating dose-response functions
- Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations
- Sensitivity Analysis for Equivalence and Difference in an Observational Study of Neonatal Intensive Care Units
- Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Mixed Integer Programming: Analyzing 12 Years of Progress
- Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data
- Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer
- Propensity score matching and subclassification in observational studies with multi‐level treatments
- Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
- Causal Inference from 2K Factorial Designs by Using Potential Outcomes
- Matching and thick description in an observational study of mortality after surgery
- Propensity Score Matching with Time‐Dependent Covariates
- Full Matching in an Observational Study of Coaching for the SAT
- Causal Inference With General Treatment Regimes
- Matching for Several Sparse Nominal Variables in a Case-Control Study of Readmission Following Surgery
- Design of observational studies
- Observational studies.