rcbalance

swMATH16378CRANrcbalanceMaRDI QIDQ28248

Large, Sparse Optimal Matching with Refined Covariate Balance

Samuel D. Pimentel

Last update: 25 March 2022

Copyright license: MIT license, File License

Software version identifier: 1.8.8

Source code repository: https://github.com/cran/rcbalance

Cites work

• Large, Sparse Optimal Matching With Refined Covariate Balance in an Observational Study of the Health Outcomes Produced by New Surgeons

Related Items (10)

The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare ⋮ Graded Matching for Large Observational Studies ⋮ tightenBlock ⋮ Matching methods for observational studies derived from large administrative databases ⋮ match2C ⋮ rcbsubset ⋮ MultiObjMatch ⋮ Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies ⋮ triplesmatch ⋮ bigmatch

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