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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

Related topics

11 relations
CausalityCorrelation does not imply causationMarginal structural modelPartial least squares regression

Broader (1)

Inductive reasoning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Causal Inference in Accounting Research
This paper examines the approaches accounting researchers use to draw causal inferences using observational (or non-experimental… 
Highly Cited
2013
Highly Cited
2013
Handbook of Causal Analysis for Social Research
Preface.- Chapter 1. Introduction Stephen L. Morgan.- PART I. BACKGROUND AND APPROACHES TO ANALYSIS.- Chapter 2. A History of… 
Highly Cited
2012
Highly Cited
2012
Causal inference in time series analysis
Introduction causality for time series graphical representations for time series representation of systems with latent variables… 
Highly Cited
2011
Highly Cited
2011
Comparative Effectiveness of Matching Methods for Causal Inference
Matching methods for causal inference selectively prune observations from the data in order to reduce model dependence. They are… 
Review
2010
Review
2010
Process Tracing and Causal Inference
How should we judge competing explanatory claims in social science research? How can we make inferences about which alternative… 
Highly Cited
2008
Highly Cited
2008
Matching for Causal Inference Without Balance Checking
We address a major discrepancy in matching methods for causal inference in observational data. Since these data are typically… 
Highly Cited
2006
Highly Cited
2006
Regression and Weighting Methods for Causal Inference Using Instrumental Variables
Please see the supplementary material for a correction and a new result. Recent researches in econometrics and statistics have… 
Review
2006
Review
2006
Matching Estimators of Causal Effects
As the counterfactual model of causality has increased in popularity, sociologists have returned to matching as a research… 
Review
2003
Review
2003
Statistics and causal inference: A review
This paper aims at assisting empirical researchers benefit from recent advances in causal inference. The paper stresses the… 
Review
2001
Review
2001
Causal Inference from Graphical Models
This article surveys modern developments within graphical models concerned with using these as a basis for discussing and… 
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