Selecting intervals to optimize the design of observational studies subject to fine balance constraints

Motivated by designing observational studies using matching methods subject to fine balance constraints, we introduce a new optimization problem. This problem consists of two phases. In the first phase, the goal is to cluster the values of a continuous covariate into a limited number of intervals. I...

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Bibliographic Details
Published in:	Journal of combinatorial optimization Vol. 47; no. 3; p. 33
Main Author:	Levin, Asaf
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2024 Springer Nature B.V
Subjects:	Algorithms Combinatorics Constraints Convex and Discrete Geometry Design optimization Intervals Matching Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Observational studies Operations Research/Decision Theory Optimization Polynomials Theory of Computation Fine balance constraints Matching Algorithms Observational studies Complexity classification
ISSN:	1382-6905, 1573-2886
Online Access:	Get full text
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