Statistics and causal inference: A review

Cited by (144)

Items 101–144 of 144

1. WIZER: Automated Model Improvement in Multi-Agent Social-Network Systems
   Alex Yahja, Kathleen M. Carley · 2006 · Springer eBooks
2. Novel Properties Generated by Interacting Computational Systems
   Fabio Boschetti, John Symons · 2011 · Complex Systems
3. Kausalität und Fixed-Effekt-Regression mit Paneldaten
   Steffen Kühnel, Anja Mays · 2017 · Springer eBooks
4. Tools Of Causal Inference: Review and Prospects
   O. M. Bespala · 2020 · Control Systems and Computers
5. Integrative and divisive roles of political parties: Party attachment, Ideology and satisfaction with democracy in the Netherlands
   Bojan Todosijević · 2014 · Revista română de ştiinţe politice/Romanian Journal of Political Science
6. Influence Diagrams
   Jim Q. Smith, Peter Adam Thwaites · 2008 · Wiley eBooks
7. Mapping effective connectivity
   Ronaldo García Reyes, Pedro Antonio Valdes-Sosa · 2024 · Elsevier eBooks
8. A Framework for Plant Topology Extraction Using Process Mining and Alarm Data
   Amir Neshastegaran, Ali Norouzifar, Iman Izadi · 2022 · Iranian Conference on Electrical Engineering
9. Bayesian Sample Size Determination for Causal Discovery
   Federico Castelletti, Guido Consonni · 2024 · Statistical Science
10. Bayesian nonparametric mixtures of categorical directed graphs for personalized causal inference
    Federico Castelletti, Laura Ferrini · 2026 · Biostatistics
11. Cluster allocation design networks
    Ana Maria Madrigal · 2007 · Bayesian Analysis
12. Accelerated Deterioration Risk Assessment Model for Proposing Maintenance Measures for Existing Neighborhoods under Uncertainty and Dynamics
    Yunhu Liu, Mingyuan Zhang · 2025 · Journal of Performance of Constructed Facilities
13. Optimal designs subject to cost constraints in simultaneous equations models
    Víctor Manuel Casero-Alonso, Jesús López–Fidalgo · 2015 · Test
14. Bayesian and Non-Bayesian Approaches to Statistical Inference: A Personal View
    Bruno Chiandotto · 2014 · Studies in theoretical and applied statistics. Selected papers of the statistical societies
15. Comments by J.Q. Smith on Goldstein and Rougier
    Jim Q. Smith · 2008 · Journal of Statistical Planning and Inference
16. Identifiability, stratification and minimum variance estimation of causal effects
    Xingwei Tong, Zhongguo Zheng, Zhi Geng · 2005 · Statistics in Medicine
17. Sequential Input Graphical Model Assessment Diagrams for Analysis of Student Activity Data
    Steven L. Tanimoto, Nathan J. Evans, Adam Carlson · 2007 · IEEE International Conference on Advanced Learning Technologies (ICALT)
18. Commentary: Using potential outcomes causal methods to assess whether reductions in PM2.5 result in decreased mortality
    Julie E. Goodman, Wenchao Li, Louis Anthony Cox · 2021 · Global Epidemiology
19. Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics
    Natalia Díaz-Rodríguez, Rūta Binkytė-Sadauskienė, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevičius, Raja Chatila · 2021 · arXiv (Cornell University)
20. On the use of Structural Equation Modeling in Infectious Disease Epidemiology: a systematic and critical review
    Bissilimou Rachidatou Orounla, Kolawolé Valère Salako, Justice Moses K. Aheto, Romain Glèlè Kakaï · 2025 · Research Square
21. Causal inference from interventional data
    Alain Hauser · 2013 · Repository for Publications and Research Data (ETH Zurich)
22. Towards Causal Modeling of Human Behavior
    Matteo Campo, Anna Polychroniou, Hugues Salamin, Maurizio Filippone, Alessandro Vinciarelli · 2012 · Smart innovation, systems and technologies
23. Causal inference in high-dimensional systems
    Colombo, Diego · 2013 · Repository for Publications and Research Data (ETH Zurich)
24. Finding causal knowledge based on Bayesian network methods
    Wang Shuang-cheng, Leng Cui-ping, Liu Feng-xia · 2008 · Chinese Control and Decision Conference (CCDC)
25. Introduction to Sociosystemics: Science About the Utilizing of Social Sciences
    Igor Mandel · 2011 · SSRN Electronic Journal
26. Causal Inference in Occupational Epidemiology: Asbestos, Lung Cancer Mortality, and the Healthy Worker Survivor Effect
    Ashley Isaac Naimi · 2019 · Carolina Digital Repository (University of North Carolina at Chapel Hill)
27. Statistical Learning of High-Dimensional Directed Acyclic Graphical Models
    Xiaotong Shen, Zhongwen Yuan · 2015
28. Bayesian Risk Assessment of a Tsunamigenic Rockslide at Åknes
    Zenon Medina‐Cetina, Unni Eidsvig, Vidar Kveldsvik, Sylfest Glimsdal, Carl Bonnevie Harbitz, F. Sandersen · 2016 · Springer eBooks
29. Two Statistical Models on European and Croatian Information Society
    Božidar Tepeš, Ivan Mijić, Krunoslav Tepeš · 2009 · Repozitorij Filozofskog fakulteta u Zagrebu' at University of Zagreb (University of Zagreb)
30. A Data-Mining Framework for Uncertainty Analysis in Pipeline Erosion Modeling
    Wei Dai · 2018
31. BIBLIOGRAPHY
    Mehmed Kantardzic · 2019 · Wiley eBooks
32. Bibliography
    Mehmed M. Kantardzic · 2011 · Wiley eBooks
33. Bibliography
    Joseph B. Kadane · 2011 · Chapman & Hall/CRC texts in statistical science/Texts in statistical science
34. Introduction
    Corinna Elsenbroich, Nigel Gilbert · 2013 · Springer eBooks
35. Influence Diagrams
    Jim Q. Smith, Peter Adam Thwaites · 2014 · Wiley eBooks
36. Assessing the Resilience of Fintechs to Epidemic Crises from a Monetary Stability Perspective: Evidence from Africa
    Souhaila Kammoun, Youssra Ben Romdhane, Sahar Loukil · 2023 · Economic Alternatives
37. The functional average treatment effect
    Shane Sparkes, Erika Garcia, Lu Zhang · 2024 · Journal of Causal Inference
38. Numerical dependency analysis (NDA): a new method for estimating the statistical dependence (not correlation) of two variables
    Abolfazl Zanghaei, Hassan Doosti, Ali Ameri, Shahrokh Naseri · 2025 · Knowledge and Information Systems
39. High-dimensional estimation using graphical models and clustering
    Philipp Rütimann · 2012 · Repository for Publications and Research Data (ETH Zurich)
40. Modern Tools for Understanding Causality: A Comparative Review of Inference Methods
    Ayushi Rajpoot, Paras Garg, Gunjan Soni, A. P. S. Rathore · 2025 · Mechanisms and machine science
41. Safety Profile of Facial Cosmetic Surgery Under Local Anesthesia, with or without Sedation: A Systematic Review and Meta-analysis
    Emmanuel (Manolis) Giannas, Luke S. Jones, Maria Kalogeromitros, Franklin R. Gergoudis, Georgios Karamitros, Ricardo A. Torres‐Guzman, Allen Gabriel, Wesley P. Thayer, Galen Perdikis, Patrick E. Assi · 2026 · Aesthetic Plastic Surgery
42. Front Running Simulation: A Digital Twin Framework for Real-Time Replication, Prediction, and Goal Navigation
    Michael W. Grieves · 2026 · Machines
43. Offline Policy Enhancement and Transfer by Combining Experimental and External One-Sided Treatment Data
    Xueqing Liu, Qinwei Yang, Zhiyu Hao, Peng Wu · 2026 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
44. Towards causal reasoning in building performance modelling with multiple data sources: a viewpoint
    Yiqun Pan, Zhuoqun Xing, Jeeye Mun, Jin-Hong Kim, Sunghyun Kim, Yoonjee Jung, Cheol Soo Park, Yang Zhao, Zhizhong Huang, Sen Huang et al. · 2026 · Journal of Building Performance Simulation