PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Preventive Medicine and Public Health10.3961/jpmph.21.5692022552116-124Application of Standardization for Causal Inference in Observational Studies: A Step-by-step Tutorial for Analysis Using R SoftwareSangwon Lee, Woojoo Leehttp://jpmph.org/upload/pdf/jpmph-21-569.pdf, http://jpmph.org/journal/view.php?doi=10.3961/jpmph.21.569, http://jpmph.org/upload/pdf/jpmph-21-569.pdf
Case Studies and Causal Inference10.1057/9781137271327_102012212-214Conclusion: Guided by Theory, Moving Forward Step by StepIngo Rohlfinghttp://link.springer.com/content/pdf/10.1057/9781137271327_10
Journal of Mathematical Psychology10.1016/j.jmp.2021.1026322022107102632A step-by-step tutorial on active inference and its application to empirical dataRyan Smith, Karl J. Friston, Christopher J. Whytehttps://api.elsevier.com/content/article/PII:S0022249621000973?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0022249621000973?httpAccept=text/plain
Revue d'Épidémiologie et de Santé Publique10.1016/j.respe.2021.04.043202169S26How do we learn what works? A two-step algorithm for causal inference from observational dataM. Hernanhttps://api.elsevier.com/content/article/PII:S0398762021001206?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0398762021001206?httpAccept=text/plain
Statistics in Medicine10.1002/sim.7808201837192874-2883Generalizability of causal inference in observational studies under retrospective convenience samplingZonghui Hu, Jing Qinhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsim.7808, https://onlinelibrary.wiley.com/doi/full/10.1002/sim.7808
Matched Sampling for Causal Effects10.1017/cbo9780511810725.0302006365-382Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigationhttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/AC41A9B786AFC7BD4722011F528891B9
Security and Communication Networks10.1002/sec.175620169186042-6065Causal knowledge analysis for detecting and modeling multi-step attacksAli Ahmadian Ramaki, Abbas Rasoolzadeganhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fsec.1756, https://onlinelibrary.wiley.com/doi/full/10.1002/sec.1756
Journal of Biomedical Informatics10.1016/j.jbi.2022.1041192022131104119Causal inference for observational longitudinal studies using deep survival modelsJie Zhu, Blanca Gallegohttps://api.elsevier.com/content/article/PII:S1532046422001356?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1532046422001356?httpAccept=text/plain
Agent‐based Models and Causal Inference10.1002/9781119704492.ch5202269-94Causal Inference in Experimental and Observational Methodshttps://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119704492.ch5, https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119704492.ch5
The Journal of Infectious Diseases10.1093/infdis/jiy392201821911-2Causal Inference for Observational StudiesDavid Kaplanhttp://academic.oup.com/jid/article-pdf/219/1/1/27053556/jiy392.pdf