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Keyword

observational data

Description: Data collected by observing phenomena without assigning interventions, commonly used in statistics, econometrics, and causal inference.
OpenAlex ID: keywords/observational-data
Matching Methods for Causal Inference: A Review and a Look Forward
2010 · Elizabeth A. Stuart · Statistical Science · 5,442
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Estimating Causal Effects from Large Data Sets Using Propensity Scores
1997 · Donald B. Rubin · Annals of Internal Medicine · 2,879
Economic Analysis of Social Interactions
2000 · Charles F Manski · The Journal of Economic Perspectives · 2,103
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Inferring friendship network structure by using mobile phone data
2009 · Nathan Eagle, Alex (Sandy) Pentland, et al. · Proceedings of the National Academy of Sciences · 1,858
Why Propensity Scores Should Not Be Used for Matching
2019 · Gary King, Richard Nielsen · Political Analysis · 1,701
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
2004 · Jared K. Lunceford, Marie Davidian · Statistics in Medicine · 1,674
Covariate Balancing Propensity Score
2013 · Kosuke Imai, Marc Ratkovic · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1,324
Behavioral Game Theory
2025 · Sanjit Dhami · Cambridge University Press eBooks · 1,290
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Statistics: an introduction using R
2005 · Crawley, Michael J. 1949- · Choice Reviews Online · 1,248
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A Linear Non-Gaussian Acyclic Model for Causal Discovery
2006 · Shohei Shimizu, Patrik O. Hoyer, et al. · 1,150
Counterfactuals and Causal Inference
2007 · Stephen L. Morgan, Christopher Winship · Cambridge University Press eBooks · 1,146
Controlling for endogeneity with instrumental variables in strategic management research
2008 · Guilhem Bascle · Strategic Organization · 1,127
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Explainable Machine Learning for Scientific Insights and Discoveries
2020 · Ribana Roscher, Bastian Bohn, et al. · IEEE Access · 1,030
Optimal Dynamic Treatment Regimes
2003 · S. A. Murphy · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1,010
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The performance of different propensity score methods for estimating marginal hazard ratios
2012 · Peter C. Austin · Statistics in Medicine · 999
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Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
2018 · Julia M. Rohrer · Advances in Methods and Practices in Psychological Science · 994
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Applied Econometrics with R
2008 · Christian Kleiber, Achim Zeileis · Springer eBooks · 940
Mendelian randomization as an instrumental variable approach to causal inference
2007 · Vanessa Didelez, Nuala Sheehan · Statistical Methods in Medical Research · 922
The Estimation of Causal Effects From Observational Data
1999 · Christopher Winship, Stephen L. Morgan · Annual Review of Sociology · 890
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Review of Causal Discovery Methods Based on Graphical Models
2019 · Clark Glymour, Kun Zhang, et al. · Frontiers in Genetics · 868
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Lagged Explanatory Variables and the Estimation of Causal Effect
2017 · Marc F. Bellemare, Takaaki Masaki, et al. · The Journal of Politics · 807
Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
2009 · Peter C. Austin · Biometrical Journal · 768
Spline models for observational data
1991 · Carl de Boor · Journal of Approximation Theory · 729
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Recent Developments in Network Measurement
2005 · Peter V. Marsden · Cambridge University Press eBooks · 663
Econometrics: Alchemy or Science?
2000 · David F. Hendry · 634
Works count: 5,537
Citation count: 96,810
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