Causal inference

Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect. The main… (More)
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Highly Cited
2012
Highly Cited
2012
We discuss a method for improving causal inferences called ‘‘Coarsened Exact Matching’’ (CEM), and the new ‘‘Monotonic Imbalance… (More)
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Highly Cited
2011
Highly Cited
2011
MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by… (More)
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Highly Cited
2010
Highly Cited
2010
Inferring the causal structure that links n observables is usually based upon detecting statistical dependences and choosing… (More)
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Highly Cited
2008
Highly Cited
2008
For obtaining causal inferences that are objective, and therefore have the best chance of revealing scientific truths, carefully… (More)
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Highly Cited
2007
Highly Cited
2007
Identifying the causal impact of some variables X on y is difficult in the best of circumstances, but faces seemingly… (More)
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Highly Cited
2005
Highly Cited
2005
  • Donald B. Rubin
  • 2005
Causal effects are defined as comparisons of potential outcomes under different treatments on a common set of units. Observed… (More)
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Highly Cited
2002
Highly Cited
2002
Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying… (More)
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Highly Cited
2001
Highly Cited
2001
EXPERIMENTAL AND QUASI EXPERIMENTAL DESIGNS FOR GENERALIZED CAUSAL INFERENCE PDF Are you searching for Experimental And Quasi… (More)
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Highly Cited
2000
Highly Cited
2000
Fuzzy cognitive maps (FCM) is a powerful paradigm for representing human knowledge and causal inference. This paper formally… (More)
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Highly Cited
1986
Highly Cited
1986
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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