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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…
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Related topics
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11 relations
Causality
Correlation does not imply causation
Marginal structural model
Partial least squares regression
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Broader (1)
Inductive reasoning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
The Effect of Private Sector Work Opportunities in Prison on Labor Market Outcomes of the Formerly Incarcerated
Robynn S Cox
2015
Corpus ID: 1860078
This paper examines the effects of a private-sector prison work program called the Prison Industry Enhancement Certification…
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2014
2014
Some Aspects of Propensity Score-based Estimators for Causal Inference
Ronnie Pingel
2014
Corpus ID: 117908438
In this paper, we show that a two-component normal mixture model provides a good approximation to the logistic distribution. This…
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2014
2014
Increasing charitable giving in the developed world
Cynthia R. Jasper
,
A. Samek
2014
Corpus ID: 154042588
Charitable giving has continued to increase in economic importance in the developed world. For instance, in the United States…
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2013
2013
Composite Ontology-Based Medical Diagnosis Decision Support System Framework
Hsien-Tseng Wang
,
A. Tansel
Communications of the IIMA
2013
Corpus ID: 708957
Current medical decision support systems have evolved from the automation of medical decision routines to improving the quality…
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2013
2013
Inheritance of Poverty or Inheritance of Place ? The Emerging Consensus on Neighborhoods and Stratification
W. Lippmann
2013
Corpus ID: 15600561
Scholarly reputations that for a time seem unimpeachable now shrink or evaporate so speedily that ‘‘intergenerational…
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2012
2012
Rational RatsCausal Inference and Representation
A. Blaisdell
,
Michael R. Waldmann
2012
Corpus ID: 17391348
2011
2011
Explaining global governance—a complexity perspective
Christine Brachthäuser
2011
Corpus ID: 56378433
As patterns of global governance have undergone significant changes over time, there is a need for new theoretical concepts that…
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2010
2010
Introduction to Causal Inference
Brady Neal
Journal of machine learning research
2010
Corpus ID: 221739564
The goal of many sciences is to understand the mechanisms by which variables came to take on the values they have (that is, to…
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2007
2007
Causal Graphical Models with Latent Variables: Learning and Inference
S. Meganck
,
Philippe Leray
,
B. Manderick
European Conference on Symbolic and Quantitative…
2007
Corpus ID: 1489741
Several paradigms exist for modeling causal graphical models for discrete variables that can handle latent variables without…
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2000
2000
A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data
J. Bowes
,
E. Neufeld
,
J. Greer
,
J. Cooke
Applied Informatics
2000
Corpus ID: 15683597
Association rules discovered through attribute-oriented induction are commonly used in data mining tools to express relationships…
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