Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies-Reference-Cited by-同舟云学术

Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies

Published:2019-05-13 Issue:3 Volume:28 Page:698-709
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Karmakar Bikram¹,Small Dylan S.¹,Rosenbaum Paul R.¹

Affiliation:

1. Wharton School, Department of Statistics, University of Pennsylvania, Philadelphia, PA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1584900

Reference42 articles.

1. Identification of Causal Effects Using Instrumental Variables

2. Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

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4. Beck, C., Lu, B. and Greevy, R. (2016), “nbpMatching: Functions for optimal non-bipartite matching,” R package version 1.5.1, https://CRAN.R-project.org/package=nbpMatching.

5. Approximation algorithms for three-dimensional assignment problems with triangle inequalities

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