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Unquantified sources of uncertainty in observational causal analyses can break the integrity of the results.
Estimating causal effects of treatments in randomized and nonrandomized studies
Donald B. Rubin · 1974
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P.R. Rosenbaum · 1989
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L.A. Wolsey · 1998
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Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs
R.H. Dehejia and S. Wahba · 1999
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Statistics and Data Analysis
A.C. Tamhane and D.D. Dunlop · 2000
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Propensity score-matching methods for nonexperimental causal studies
R.H. Dehejia and S. Wahba · 2002
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Ampl: A modeling language for mathematical programming
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Counterfactuals and Causal Inference: Methods and Principles for Social Research
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The design versus the analysis of observational studies for causal effects: Parallels with the design of randomized trials
D.B. Rubin · 2007
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Kosuke Imai, Gary King, and Elizabeth A Stuart · 2008
Applied Integer Programming: Modeling and Solution
D.-S. Chen, R.G. Batson, and Y. Dang · 2011
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Multivariate matching methods that are monotonic imbalance bounding
Stefano M Iacus, Gary King, and Giuseppe Porro · 2011
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Causal inference without balance checking: Coarsened exact matching
Stefano M Iacus, Gary King, and Giuseppe Porro · 2012
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Integer linear programming models for grid-based light post location problem
M. Noor-E-Alam, A. Mah, and J. Doucette · 2012
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Optimal matching of an optimally chosen subset in observational studies
Paul R. Rosenbaum · 2012
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Using mixed integer programming for matching in an observational study of kidney failure after surgery
J.R. Zubizarreta · 2012
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