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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Related topics

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11 relations
CausalityCorrelation does not imply causationMarginal structural modelPartial least squares regression
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Broader (1)

Inductive reasoning

Papers overview

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Highly Cited
2012
Highly Cited
2012
Causal Inference without Balance Checking: Coarsened Exact Matching
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: Nonparametric preprocessing for parametric causal inference
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
Causal Inference Using the Algorithmic Markov Condition
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 objective causal inference, design trumps analysis
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
Causal inference with observational data
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
Causal Inference Using Potential Outcomes: Design, Modeling, Decisions
  • 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
Principal stratification in causal inference.
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
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
On causal inference in fuzzy cognitive maps
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
Statistics and Causal Inference
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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