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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of combinatorial optimization Jg. 47; H. 3; S. 33
1. Verfasser:	Levin, Asaf
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2024 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!