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The American Statistician Volume 72, 2018 - Issue 3
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Statistical Practice

The Landscape of Causal Inference: Perspective From Citation Network Analysis

Weihua AnDepartment of Sociology and Institute for Quantitative Theory and Methods, Emory University, Atlanta, GACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-0334-2930
ORCID Icon &
Ying DingSchool of Informatics and Computing, Indiana University, INORCID Iconhttp://orcid.org/0000-0003-2567-2009
ORCID Icon
Pages 265-277 | Received 01 Feb 2017, Published online: 08 Jun 2018

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T. Michael Kashner, Steven S. Henley, Richard M. Golden & Xiao-Hua Zhou. (2020) Making causal inferences about treatment effect sizes from observational datasets. Biostatistics & Epidemiology 4:1, pages 48-83.
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Articles from other publishers (6)

Jinqing Yang & Zhifeng Liu. (2022) The effect of citation behaviour on knowledge diffusion and intellectual structure. Journal of Informetrics 16:1, pages 101225.
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Meijun Liu & Xiao Hu. (2021) Will collaborators make scientists move? A Generalized Propensity Score analysis. Journal of Informetrics 15:1, pages 101113.
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Manajit Chakraborty, Maksym Byshkin & Fabio Crestani. (2020) Patent citation network analysis: A perspective from descriptive statistics and ERGMs. PLOS ONE 15:12, pages e0241797.
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Saeid Ghafouri & Seyed Hossein Khasteh. (2020) A survey on exponential random graph models: an application perspective. PeerJ Computer Science 6, pages e269.
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Benji Li, Yan Wang, Xiaomeng Li, Qinghua Chen, Jianzhang Bao & Tao Zheng. 2020. Advances in Intelligent Systems and Interactive Applications. Advances in Intelligent Systems and Interactive Applications 303 311 .
Guancan Yang, Di Liu, Ling Chen & Kun Lu. (2022) Integrating Dissolution Process in the Analysis of Emerging Technology Evolution Based on STERGM. SSRN Electronic Journal.
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