Causal inference (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Causal inference" in English language version.

refsWebsite

Global rank English rank

21web.archive.org

1^st place

20doi.org

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11worldcat.org

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10nih.gov

4^th place

5semanticscholar.org

11^th place

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3arxiv.org

69^th place

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2nips.cc

low place

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2jmlr.org

low place

2handle.net

102^nd place

76^th place

1ucla.edu

782^nd place

585^th place

1britannica.com

40^th place

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1mhhe.com

low place

1edwardtufte.com

low place

1jstor.org

26^th place

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1books.google.com

3^rd place

1cambridge.org

305^th place

264^th place

1annualreviews.org

3,867^th place

3,957^th place

1cmu.edu

1,564^th place

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1mit.edu

415^th place

327^th place

1openstax.org

6,581^st place

3,967^th place

1apa.org

1,220^th place

1,102^nd place

1nytimes.com

7^th place

1americanscientist.org

7,231^st place

5,635^th place

americanscientist.org

"The Statistical Crisis in Science". American Scientist. 6 February 2017. Archived from the original on 13 August 2021. Retrieved 18 April 2019.

annualreviews.org

Cirone, Alexandra; Pepinsky, Thomas B. (2022). "Historical Persistence". Annual Review of Political Science. 25 (1): 241–259. doi:10.1146/annurev-polisci-051120-104325. ISSN 1094-2939.

apa.org

psycnet.apa.org

Dawes, Robyn M. (1979). "The robust beauty of improper linear models in decision making". American Psychologist. 34 (7): 571–582. doi:10.1037/0003-066X.34.7.571. Archived from the original on 21 July 2021. Retrieved 16 February 2021.

arxiv.org

Louizos, Christos; Shalit, Uri; Mooij, Joris; Sontag, David; Zemel, Richard; Welling, Max (2017). "Causal Effect Inference with Deep Latent-Variable Models". arXiv:1705.08821 [stat.ML].
Shimizu, Shohei; et al. (2011). "DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model" (PDF). The Journal of Machine Learning Research. 12: 1225–1248. arXiv:1101.2489. Archived (PDF) from the original on 23 July 2021. Retrieved 27 July 2019.
Zhang, Kun, and Aapo Hyvärinen. "On the identifiability of the post-nonlinear causal model Archived 19 October 2021 at the Wayback Machine." Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2009.

books.google.com

Creswell, John W.; Clark, Vicki L. Plano (2011). Designing and Conducting Mixed Methods Research. SAGE Publications. ISBN 9781412975179. Archived from the original on 21 July 2021. Retrieved 23 February 2021.

britannica.com

"causal inference". Encyclopædia Britannica, Inc. Archived from the original on 3 May 2015. Retrieved 24 August 2014.

cambridge.org

Seawright, Jason (September 2016). Multi-Method Social Science by Jason Seawright. Cambridge Core. doi:10.1017/CBO9781316160831. ISBN 9781316160831. Archived from the original on 21 July 2021. Retrieved 18 April 2019.

cmu.edu

University, Carnegie Mellon. "Theory of Causation - Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University". www.cmu.edu. Archived from the original on 11 July 2021. Retrieved 16 February 2021.

doi.org

Pearl, Judea (1 January 2009). "Causal inference in statistics: An overview" (PDF). Statistics Surveys. 3: 96–146. doi:10.1214/09-SS057. Archived (PDF) from the original on 6 August 2010. Retrieved 24 September 2012.
Schrodt, Philip A (1 March 2014). "Seven deadly sins of contemporary quantitative political analysis". Journal of Peace Research. 51 (2): 287–300. doi:10.1177/0022343313499597. ISSN 0022-3433. S2CID 197658213. Archived from the original on 15 August 2021. Retrieved 16 February 2021.
Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.
Greenland, Sander; Brumback, Babette (October 2002). "An overview of relations among causal modelling methods". International Journal of Epidemiology. 31 (5): 1030–1037. doi:10.1093/ije/31.5.1030. ISSN 1464-3685. PMID 12435780.
Hill, Austin Bradford (1965). "The Environment and Disease: Association or Causation?". Proceedings of the Royal Society of Medicine. 58 (5): 295–300. doi:10.1177/003591576505800503. PMC 1898525. PMID 14283879. Archived from the original on 19 February 2021. Retrieved 25 February 2014.
Mahoney, James (January 2010). "After KKV". World Politics. 62 (1): 120–147. doi:10.1017/S0043887109990220. JSTOR 40646193. S2CID 43923978.
Seawright, Jason (September 2016). Multi-Method Social Science by Jason Seawright. Cambridge Core. doi:10.1017/CBO9781316160831. ISBN 9781316160831. Archived from the original on 21 July 2021. Retrieved 18 April 2019.
Smith, Herbert L. (10 February 2014). "Effects of Causes and Causes of Effects: Some Remarks from the Sociological Side". Sociological Methods and Research. 43 (3): 406–415. doi:10.1177/0049124114521149. PMC 4251584. PMID 25477697.
Goertz, Gary; Mahoney, James (2006). "A Tale of Two Cultures: Contrasting Quantitative and Qualitative Research". Political Analysis. 14 (3): 227–249. doi:10.1093/pan/mpj017. ISSN 1047-1987.
Cirone, Alexandra; Pepinsky, Thomas B. (2022). "Historical Persistence". Annual Review of Political Science. 25 (1): 241–259. doi:10.1146/annurev-polisci-051120-104325. ISSN 1094-2939.
Angrist, Joshua D.; Pischke, Jörn-Steffen (June 2010). "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics". Journal of Economic Perspectives. 24 (2): 3–30. doi:10.1257/jep.24.2.3. hdl:1721.1/54195. ISSN 0895-3309.
Angrist, Joshua D.; Krueger, Alan B. (2001). "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments". Journal of Economic Perspectives. 15 (4): 69–85. doi:10.1257/jep.15.4.69. hdl:1721.1/63775. Archived from the original on 6 May 2021. Retrieved 16 February 2021.
Allen, Michael Patrick, ed. (1997), "Model specification in regression analysis", Understanding Regression Analysis, Boston, MA: Springer US, pp. 166–170, doi:10.1007/978-0-585-25657-3_35, ISBN 978-0-585-25657-3, archived from the original on 15 August 2021, retrieved 16 February 2021
Salciccioli, Justin D.; Crutain, Yves; Komorowski, Matthieu; Marshall, Dominic C. (2016), MIT Critical Data (ed.), "Sensitivity Analysis and Model Validation", Secondary Analysis of Electronic Health Records, Cham: Springer International Publishing, pp. 263–271, doi:10.1007/978-3-319-43742-2_17, ISBN 978-3-319-43742-2, PMID 31314264
Henschen, Tobias (2018). "The in-principle inconclusiveness of causal evidence in macroeconomics". European Journal for Philosophy of Science. 8 (3): 709–733. doi:10.1007/s13194-018-0207-7. S2CID 158264284.
Achen, Christopher H. (June 2002). "Toward a new political methodology: Microfoundations and ART". Annual Review of Political Science. 5 (1): 423–450. doi:10.1146/annurev.polisci.5.112801.080943. ISSN 1094-2939.
Dawes, Robyn M. (1979). "The robust beauty of improper linear models in decision making". American Psychologist. 34 (7): 571–582. doi:10.1037/0003-066X.34.7.571. Archived from the original on 21 July 2021. Retrieved 16 February 2021.
Vandenbroucke, Jan P; Broadbent, Alex; Pearce, Neil (December 2016). "Causality and causal inference in epidemiology: the need for a pluralistic approach". International Journal of Epidemiology. 45 (6): 1776–1786. doi:10.1093/ije/dyv341. ISSN 0300-5771. PMC 5841832. PMID 26800751.
Greenland, Sander (January 2017). "For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates". European Journal of Epidemiology. 32 (1): 3–20. doi:10.1007/s10654-017-0230-6. ISSN 1573-7284. PMID 28220361. S2CID 4574751. Archived from the original on 21 July 2021. Retrieved 16 February 2021.

dx.doi.org

Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.

edwardtufte.com

Hill, Austin Bradford (1965). "The Environment and Disease: Association or Causation?". Proceedings of the Royal Society of Medicine. 58 (5): 295–300. doi:10.1177/003591576505800503. PMC 1898525. PMID 14283879. Archived from the original on 19 February 2021. Retrieved 25 February 2014.

handle.net

hdl.handle.net

Angrist, Joshua D.; Pischke, Jörn-Steffen (June 2010). "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics". Journal of Economic Perspectives. 24 (2): 3–30. doi:10.1257/jep.24.2.3. hdl:1721.1/54195. ISSN 0895-3309.
Angrist, Joshua D.; Krueger, Alan B. (2001). "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments". Journal of Economic Perspectives. 15 (4): 69–85. doi:10.1257/jep.15.4.69. hdl:1721.1/63775. Archived from the original on 6 May 2021. Retrieved 16 February 2021.

jmlr.org

Shimizu, Shohei; et al. (2011). "DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model" (PDF). The Journal of Machine Learning Research. 12: 1225–1248. arXiv:1101.2489. Archived (PDF) from the original on 23 July 2021. Retrieved 27 July 2019.
Lopez-Paz, David, et al. "Towards a learning theory of cause-effect inference Archived 13 March 2017 at the Wayback Machine" ICML. 2015

jstor.org

Mahoney, James (January 2010). "After KKV". World Politics. 62 (1): 120–147. doi:10.1017/S0043887109990220. JSTOR 40646193. S2CID 43923978.

mhhe.com

John Shaughnessy; Eugene Zechmeister; Jeanne Zechmeister (2000). Research Methods in Psychology. McGraw-Hill Humanities/Social Sciences/Languages. pp. Chapter 1 : Introduction. ISBN 978-0077825362. Archived from the original on 15 October 2014. Retrieved 24 August 2014.

mit.edu

economics.mit.edu

Angrist, Joshua D.; Krueger, Alan B. (2001). "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments". Journal of Economic Perspectives. 15 (4): 69–85. doi:10.1257/jep.15.4.69. hdl:1721.1/63775. Archived from the original on 6 May 2021. Retrieved 16 February 2021.

nih.gov

pubmed.ncbi.nlm.nih.gov

Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.
Greenland, Sander; Brumback, Babette (October 2002). "An overview of relations among causal modelling methods". International Journal of Epidemiology. 31 (5): 1030–1037. doi:10.1093/ije/31.5.1030. ISSN 1464-3685. PMID 12435780.
Hill, Austin Bradford (1965). "The Environment and Disease: Association or Causation?". Proceedings of the Royal Society of Medicine. 58 (5): 295–300. doi:10.1177/003591576505800503. PMC 1898525. PMID 14283879. Archived from the original on 19 February 2021. Retrieved 25 February 2014.
Smith, Herbert L. (10 February 2014). "Effects of Causes and Causes of Effects: Some Remarks from the Sociological Side". Sociological Methods and Research. 43 (3): 406–415. doi:10.1177/0049124114521149. PMC 4251584. PMID 25477697.
Salciccioli, Justin D.; Crutain, Yves; Komorowski, Matthieu; Marshall, Dominic C. (2016), MIT Critical Data (ed.), "Sensitivity Analysis and Model Validation", Secondary Analysis of Electronic Health Records, Cham: Springer International Publishing, pp. 263–271, doi:10.1007/978-3-319-43742-2_17, ISBN 978-3-319-43742-2, PMID 31314264
Vandenbroucke, Jan P; Broadbent, Alex; Pearce, Neil (December 2016). "Causality and causal inference in epidemiology: the need for a pluralistic approach". International Journal of Epidemiology. 45 (6): 1776–1786. doi:10.1093/ije/dyv341. ISSN 0300-5771. PMC 5841832. PMID 26800751.
Greenland, Sander (January 2017). "For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates". European Journal of Epidemiology. 32 (1): 3–20. doi:10.1007/s10654-017-0230-6. ISSN 1573-7284. PMID 28220361. S2CID 4574751. Archived from the original on 21 July 2021. Retrieved 16 February 2021.

ncbi.nlm.nih.gov

Hill, Austin Bradford (1965). "The Environment and Disease: Association or Causation?". Proceedings of the Royal Society of Medicine. 58 (5): 295–300. doi:10.1177/003591576505800503. PMC 1898525. PMID 14283879. Archived from the original on 19 February 2021. Retrieved 25 February 2014.
Smith, Herbert L. (10 February 2014). "Effects of Causes and Causes of Effects: Some Remarks from the Sociological Side". Sociological Methods and Research. 43 (3): 406–415. doi:10.1177/0049124114521149. PMC 4251584. PMID 25477697.
Vandenbroucke, Jan P; Broadbent, Alex; Pearce, Neil (December 2016). "Causality and causal inference in epidemiology: the need for a pluralistic approach". International Journal of Epidemiology. 45 (6): 1776–1786. doi:10.1093/ije/dyv341. ISSN 0300-5771. PMC 5841832. PMID 26800751.

nips.cc

papers.nips.cc

Hoyer, Patrik O., et al. "Nonlinear causal discovery with additive noise models Archived 2 November 2020 at the Wayback Machine." NIPS. Vol. 21. 2008.
Mooij, Joris M., et al. "Probabilistic latent variable models for distinguishing between cause and effect Archived 22 July 2020 at the Wayback Machine." NIPS. 2010.

nytimes.com

Dominus, Susan (18 October 2017). "When the Revolution Came for Amy Cuddy". The New York Times. ISSN 0362-4331. Archived from the original on 3 January 2020. Retrieved 2 March 2019.

openstax.org

Illowsky, Barbara (2013). "Introductory Statistics". openstax.org. Archived from the original on 6 February 2017. Retrieved 16 February 2021.

semanticscholar.org

api.semanticscholar.org

Schrodt, Philip A (1 March 2014). "Seven deadly sins of contemporary quantitative political analysis". Journal of Peace Research. 51 (2): 287–300. doi:10.1177/0022343313499597. ISSN 0022-3433. S2CID 197658213. Archived from the original on 15 August 2021. Retrieved 16 February 2021.
Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.
Mahoney, James (January 2010). "After KKV". World Politics. 62 (1): 120–147. doi:10.1017/S0043887109990220. JSTOR 40646193. S2CID 43923978.
Henschen, Tobias (2018). "The in-principle inconclusiveness of causal evidence in macroeconomics". European Journal for Philosophy of Science. 8 (3): 709–733. doi:10.1007/s13194-018-0207-7. S2CID 158264284.
Greenland, Sander (January 2017). "For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates". European Journal of Epidemiology. 32 (1): 3–20. doi:10.1007/s10654-017-0230-6. ISSN 1573-7284. PMID 28220361. S2CID 4574751. Archived from the original on 21 July 2021. Retrieved 16 February 2021.

ucla.edu

ftp.cs.ucla.edu

Pearl, Judea (1 January 2009). "Causal inference in statistics: An overview" (PDF). Statistics Surveys. 3: 96–146. doi:10.1214/09-SS057. Archived (PDF) from the original on 6 August 2010. Retrieved 24 September 2012.

web.archive.org

Pearl, Judea (1 January 2009). "Causal inference in statistics: An overview" (PDF). Statistics Surveys. 3: 96–146. doi:10.1214/09-SS057. Archived (PDF) from the original on 6 August 2010. Retrieved 24 September 2012.
"causal inference". Encyclopædia Britannica, Inc. Archived from the original on 3 May 2015. Retrieved 24 August 2014.
John Shaughnessy; Eugene Zechmeister; Jeanne Zechmeister (2000). Research Methods in Psychology. McGraw-Hill Humanities/Social Sciences/Languages. pp. Chapter 1 : Introduction. ISBN 978-0077825362. Archived from the original on 15 October 2014. Retrieved 24 August 2014.
Schrodt, Philip A (1 March 2014). "Seven deadly sins of contemporary quantitative political analysis". Journal of Peace Research. 51 (2): 287–300. doi:10.1177/0022343313499597. ISSN 0022-3433. S2CID 197658213. Archived from the original on 15 August 2021. Retrieved 16 February 2021.
Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.
Hill, Austin Bradford (1965). "The Environment and Disease: Association or Causation?". Proceedings of the Royal Society of Medicine. 58 (5): 295–300. doi:10.1177/003591576505800503. PMC 1898525. PMID 14283879. Archived from the original on 19 February 2021. Retrieved 25 February 2014.
Hoyer, Patrik O., et al. "Nonlinear causal discovery with additive noise models Archived 2 November 2020 at the Wayback Machine." NIPS. Vol. 21. 2008.
Shimizu, Shohei; et al. (2011). "DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model" (PDF). The Journal of Machine Learning Research. 12: 1225–1248. arXiv:1101.2489. Archived (PDF) from the original on 23 July 2021. Retrieved 27 July 2019.
Zhang, Kun, and Aapo Hyvärinen. "On the identifiability of the post-nonlinear causal model Archived 19 October 2021 at the Wayback Machine." Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2009.
Mooij, Joris M., et al. "Probabilistic latent variable models for distinguishing between cause and effect Archived 22 July 2020 at the Wayback Machine." NIPS. 2010.
Lopez-Paz, David, et al. "Towards a learning theory of cause-effect inference Archived 13 March 2017 at the Wayback Machine" ICML. 2015
Creswell, John W.; Clark, Vicki L. Plano (2011). Designing and Conducting Mixed Methods Research. SAGE Publications. ISBN 9781412975179. Archived from the original on 21 July 2021. Retrieved 23 February 2021.
Seawright, Jason (September 2016). Multi-Method Social Science by Jason Seawright. Cambridge Core. doi:10.1017/CBO9781316160831. ISBN 9781316160831. Archived from the original on 21 July 2021. Retrieved 18 April 2019.
University, Carnegie Mellon. "Theory of Causation - Department of Philosophy - Dietrich College of Humanities and Social Sciences - Carnegie Mellon University". www.cmu.edu. Archived from the original on 11 July 2021. Retrieved 16 February 2021.
Angrist, Joshua D.; Krueger, Alan B. (2001). "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments". Journal of Economic Perspectives. 15 (4): 69–85. doi:10.1257/jep.15.4.69. hdl:1721.1/63775. Archived from the original on 6 May 2021. Retrieved 16 February 2021.
Allen, Michael Patrick, ed. (1997), "Model specification in regression analysis", Understanding Regression Analysis, Boston, MA: Springer US, pp. 166–170, doi:10.1007/978-0-585-25657-3_35, ISBN 978-0-585-25657-3, archived from the original on 15 August 2021, retrieved 16 February 2021
Illowsky, Barbara (2013). "Introductory Statistics". openstax.org. Archived from the original on 6 February 2017. Retrieved 16 February 2021.
Dawes, Robyn M. (1979). "The robust beauty of improper linear models in decision making". American Psychologist. 34 (7): 571–582. doi:10.1037/0003-066X.34.7.571. Archived from the original on 21 July 2021. Retrieved 16 February 2021.
Greenland, Sander (January 2017). "For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates". European Journal of Epidemiology. 32 (1): 3–20. doi:10.1007/s10654-017-0230-6. ISSN 1573-7284. PMID 28220361. S2CID 4574751. Archived from the original on 21 July 2021. Retrieved 16 February 2021.
Dominus, Susan (18 October 2017). "When the Revolution Came for Amy Cuddy". The New York Times. ISSN 0362-4331. Archived from the original on 3 January 2020. Retrieved 2 March 2019.
"The Statistical Crisis in Science". American Scientist. 6 February 2017. Archived from the original on 13 August 2021. Retrieved 18 April 2019.

worldcat.org

search.worldcat.org

Schrodt, Philip A (1 March 2014). "Seven deadly sins of contemporary quantitative political analysis". Journal of Peace Research. 51 (2): 287–300. doi:10.1177/0022343313499597. ISSN 0022-3433. S2CID 197658213. Archived from the original on 15 August 2021. Retrieved 16 February 2021.
Landsittel, Douglas; Srivastava, Avantika; Kropf, Kristin (2020). "A Narrative Review of Methods for Causal Inference and Associated Educational Resources". Quality Management in Health Care. 29 (4): 260–269. doi:10.1097/QMH.0000000000000276. ISSN 1063-8628. PMID 32991545. S2CID 222146291. Archived from the original on 15 August 2021. Retrieved 26 February 2021.
Greenland, Sander; Brumback, Babette (October 2002). "An overview of relations among causal modelling methods". International Journal of Epidemiology. 31 (5): 1030–1037. doi:10.1093/ije/31.5.1030. ISSN 1464-3685. PMID 12435780.
King, Gary (2012). Designing social inquiry : scientific inference in qualitative research. Princeton Univ. Press. ISBN 978-0691034713. OCLC 754613241.
Goertz, Gary; Mahoney, James (2006). "A Tale of Two Cultures: Contrasting Quantitative and Qualitative Research". Political Analysis. 14 (3): 227–249. doi:10.1093/pan/mpj017. ISSN 1047-1987.
Cirone, Alexandra; Pepinsky, Thomas B. (2022). "Historical Persistence". Annual Review of Political Science. 25 (1): 241–259. doi:10.1146/annurev-polisci-051120-104325. ISSN 1094-2939.
Angrist, Joshua D.; Pischke, Jörn-Steffen (June 2010). "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics". Journal of Economic Perspectives. 24 (2): 3–30. doi:10.1257/jep.24.2.3. hdl:1721.1/54195. ISSN 0895-3309.
Achen, Christopher H. (June 2002). "Toward a new political methodology: Microfoundations and ART". Annual Review of Political Science. 5 (1): 423–450. doi:10.1146/annurev.polisci.5.112801.080943. ISSN 1094-2939.
Vandenbroucke, Jan P; Broadbent, Alex; Pearce, Neil (December 2016). "Causality and causal inference in epidemiology: the need for a pluralistic approach". International Journal of Epidemiology. 45 (6): 1776–1786. doi:10.1093/ije/dyv341. ISSN 0300-5771. PMC 5841832. PMID 26800751.
Greenland, Sander (January 2017). "For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates". European Journal of Epidemiology. 32 (1): 3–20. doi:10.1007/s10654-017-0230-6. ISSN 1573-7284. PMID 28220361. S2CID 4574751. Archived from the original on 21 July 2021. Retrieved 16 February 2021.
Dominus, Susan (18 October 2017). "When the Revolution Came for Amy Cuddy". The New York Times. ISSN 0362-4331. Archived from the original on 3 January 2020. Retrieved 2 March 2019.