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Rubin causal model

The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Negative (vs positive) intergroup contact may have a disproportionately large impact on intergroup relations because of valence… 
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Highly Cited
2014
Highly Cited
2014
When a researcher estimates the parameters of a regression function using information on all 50 states in the United States, or… 
2011
2011
  • D. Rubin, L. John
  • International Encyclopedia of Statistical Science
  • 2011
  • Corpus ID: 38530696
2010
2010
The Rubin Causal Model (RCM) is a formal mathematical framework for causal inference, first given that name by Holland (1986) for… 
2010
2010
This paper studies the asymptotic validity of the Anderson–Rubin (AR) test and the J test for overidentifying restrictions in… 
Review
2009
Review
2009
In recent years, there has been a burst of innovative work on methods for estimating causal effects using observational data… 
Review
2007
Review
2007
ABSTRACT—It has long been argued that social withdrawal in early childhood is a risk factor for later socioemotional difficulties… 
Highly Cited
2007
Highly Cited
2007
Abstract This paper establishes the asymptotic distributions of the likelihood ratio (LR), Anderson–Rubin (AR), and Lagrange… 
Highly Cited
2003
Highly Cited
2003
In a 9 year longitudinal study over childhood, the Big Five personality traits were assessed at ages 4–6 by teacher Q‐sorts, at… 
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Highly Cited
1989
Highly Cited
1989
Justification, in the vernacular language of philosophy of science, refers to the evaluation, defense, and confirmation of claims… 
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