Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
Author
Abstract
Suggested Citation
DOI: 10.1080/01621459.2012.703874
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Lu, Bo & Greevy, Robert & Xu, Xinyi & Beck, Cole, 2011. "Optimal Nonbipartite Matching and Its Statistical Applications," The American Statistician, American Statistical Association, vol. 65(1), pages 21-30.
- Li Y.P. & Propert K. J. & Rosenbaum P. R., 2001. "Balanced Risk Set Matching," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 870-882, September.
- Ben B. Hansen, 2004. "Full Matching in an Observational Study of Coaching for the SAT," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 609-618, January.
- Ben B. Hansen, 2008. "The prognostic analogue of the propensity score," Biometrika, Biometrika Trust, vol. 95(2), pages 481-488.
- Rosenbaum, Paul R. & Ross, Richard N. & Silber, Jeffrey H., 2007. "Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 75-83, March.
- Robert Bixby & Edward Rothberg, 2007. "Progress in computational mixed integer programming—A look back from the other side of the tipping point," Annals of Operations Research, Springer, vol. 149(1), pages 37-41, February.
- Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Glazer Amanda K. & Pimentel Samuel D., 2023. "Robust inference for matching under rolling enrollment," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-19, January.
- Harsh Parikh & Cynthia Rudin & Alexander Volfovsky, 2018. "MALTS: Matching After Learning to Stretch," Papers 1811.07415, arXiv.org, revised Jun 2023.
- Jason J. Sauppe & Sheldon H. Jacobson, 2017. "The role of covariate balance in observational studies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(4), pages 323-344, June.
- Dan Yang & Dylan S. Small & Jeffrey H. Silber & Paul R. Rosenbaum, 2012. "Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes," Biometrics, The International Biometric Society, vol. 68(2), pages 628-636, June.
- Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
- Jason J. Sauppe & Sheldon H. Jacobson & Edward C. Sewell, 2014. "Complexity and Approximation Results for the Balance Optimization Subset Selection Model for Causal Inference in Observational Studies," INFORMS Journal on Computing, INFORMS, vol. 26(3), pages 547-566, August.
- Samuel D. Pimentel & Lauren Vollmer Forrow & Jonathan Gellar & Jiaqi Li, 2020. "Optimal matching approaches in health policy evaluations under rolling enrolment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1411-1435, October.
- Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
- Alberto Abadie & Guido W. Imbens, 2012.
"A Martingale Representation for Matching Estimators,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 833-843, June.
- Alberto Abadie & Guido Imbens, 2009. "A Martingale Representation for Matching Estimators," NBER Working Papers 14756, National Bureau of Economic Research, Inc.
- Abadie, Alberto & Imbens, Guido W., 2009. "A Martingale Representation for Matching Estimators," IZA Discussion Papers 4073, Institute of Labor Economics (IZA).
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007.
"Using State Administrative Data to Measure Program Performance,"
The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
- Peter R. Mueser & Kenneth Troske & Alexey Gorislavsky, 2003. "Using State Administrative Data to Measure Program Performance," Working Papers 0309, Department of Economics, University of Missouri.
- Mueser, Peter R. & Troske, Kenneth & Gorislavsky, Alexey, 2003. "Using State Administrative Data to Measure Program Performance," IZA Discussion Papers 786, Institute of Labor Economics (IZA).
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," Working Papers 0702, Department of Economics, University of Missouri.
- Yuri Ostrovsky & Garnett Picot, 2021. "Innovation in immigrant-owned firms," Small Business Economics, Springer, vol. 57(4), pages 1857-1874, December.
- Joseph Antonelli & Matthew Cefalu & Nathan Palmer & Denis Agniel, 2018. "Doubly robust matching estimators for high dimensional confounding adjustment," Biometrics, The International Biometric Society, vol. 74(4), pages 1171-1179, December.
- Shixiao Zhang & Peisong Han & Changbao Wu, 2023. "Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference," International Statistical Review, International Statistical Institute, vol. 91(2), pages 165-192, August.
- de Luna, Xavier & Johansson, Per & Sjöstedt-de Luna, Sara, 2010.
"Bootstrap Inference for K-Nearest Neighbour Matching Estimators,"
IZA Discussion Papers
5361, Institute of Labor Economics (IZA).
- de Luna, Xavier & Johansson, Per & Sjöstedt-de Luna, Sara, 2010. "Bootstrap inference for K-nearest neighbour matching estimators," Working Paper Series 2010:13, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- Gary King & Christopher Lucas & Richard A. Nielsen, 2017. "The Balance‐Sample Size Frontier in Matching Methods for Causal Inference," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 473-489, April.
- David Kaplan & Jianshen Chen, 2012. "A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 581-609, July.
- Chenyin Gao & Katherine Jenny Thompson & Jae Kwang Kim & Shu Yang, 2022. "Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1903-1930, October.
- Leonardi, Marco & Mossucca, Rossella & Schivardi, Fabiano & Severgnini, Battista, 2021.
"Gains from early support of a new political party,"
Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 878-890.
- Leonardi, Marco & Mossucca, Rossella & Schivardi, Fabiano & Severgnini, Battista, 2019. "Gains from Early Support of a New Political Party," IZA Discussion Papers 12549, Institute of Labor Economics (IZA).
- Md Saiful Islam & Md Sarowar Morshed & Gary J Young & Md Noor-E-Alam, 2019. "Robust policy evaluation from large-scale observational studies," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
- Bertoni, Danilo & Curzi, Daniele & Aletti, Giacomo & Olper, Alessandro, 2020. "Estimating the effects of agri-environmental measures using difference-in-difference coarsened exact matching," Food Policy, Elsevier, vol. 90(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jnlasa:v:107:y:2012:i:500:p:1360-1371. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UASA20 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.