{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T15:40:19Z","timestamp":1758123619102},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T00:00:00Z","timestamp":1547251200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Australian Research Council Discover","award":["DP140103617"],"award-info":[{"award-number":["DP140103617"]}]},{"name":"Australia Research Council Discovery","award":["DP170101306"],"award-info":[{"award-number":["DP170101306"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s41060-018-0168-0","type":"journal-article","created":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T05:10:36Z","timestamp":1547269836000},"page":"285-297","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Data-driven discovery of causal interactions"],"prefix":"10.1007","volume":"8","author":[{"given":"Saisai","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiuyong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thuc Duy","family":"Le","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,12]]},"reference":[{"key":"168_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-26577-1","volume-title":"Handbook of Epidemiology, pp 1\u201340","author":"W Ahrens","year":"2005","unstructured":"Ahrens, W., Krickeberg, K., Pigeot, I.: An introduction to epidemiology. In: Ahrens, W., Pigeot, I. (eds.) Handbook of Epidemiology, pp 1\u201340. Springer, Berlin (2005)"},{"issue":"2","key":"168_CR2","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/S0092-8674(04)00045-5","volume":"116","author":"DP Bartel","year":"2004","unstructured":"Bartel, D.P.: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116(2), 281\u2013297 (2004)","journal-title":"Cell"},{"issue":"3","key":"168_CR3","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s41060-017-0073-y","volume":"4","author":"B Dao","year":"2017","unstructured":"Dao, B., Nguyen, T., Venkatesh, S., Phung, D.: Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. 4(3), 209\u201331 (2017)","journal-title":"Int. J. Data Sci. Anal."},{"issue":"2","key":"168_CR4","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s41060-016-0038-6","volume":"3","author":"F Eberhardt","year":"2017","unstructured":"Eberhardt, F.: Introduction to the foundations of causal discovery. Int. J. Data Sci. Anal. 3(2), 81\u201391 (2017)","journal-title":"Int. J. Data Sci. Anal."},{"key":"168_CR5","volume-title":"Statistical Methods for Rates and Proportions","author":"JL Fleiss","year":"2013","unstructured":"Fleiss, J.L., Levin, B., Paik, M.C.: Statistical Methods for Rates and Proportions. Wiley, New York (2013)"},{"issue":"3","key":"168_CR6","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1093\/bioinformatics\/btf869","volume":"19","author":"LW Hahn","year":"2003","unstructured":"Hahn, L.W., Ritchie, M.D., Moore, J.H.: Multifactor dimensionality reduction software for detecting gene\u2013gene and gene-environment interactions. Bioinformatics 19(3), 376\u2013382 (2003)","journal-title":"Bioinformatics"},{"key":"168_CR7","unstructured":"Hastie, T., Tibshirani, R., Narasimhan, B., Chu, G.: Package \u2018impute\u2019 (2016). \n                    https:\/\/bioconductor.org\/packages\/release\/bioc\/manuals\/impute\/man\/impute.pdf"},{"issue":"4","key":"168_CR8","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1038\/nrg1578","volume":"6","author":"DJ Hunter","year":"2005","unstructured":"Hunter, D.J.: Gene-environment interactions in human diseases. Nat. Rev. Genet. 6(4), 287\u2013298 (2005)","journal-title":"Nat. Rev. Genet."},{"issue":"3","key":"168_CR9","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1093\/biomet\/87.3.706","volume":"87","author":"GW Imbens","year":"2000","unstructured":"Imbens, G.W.: The role of the propensity score in estimating dose\u2013response functions. Biometrika 87(3), 706\u2013710 (2000)","journal-title":"Biometrika"},{"key":"168_CR10","first-page":"341","volume":"2010","author":"X Jiang","year":"2010","unstructured":"Jiang, X., Neapolitan, R.E., Barmada, M.M., Visweswaran, S., Cooper, G.F.: A fast algorithm for learning epistatic genomic relationships. AMIA Ann. Symp. Proc. 2010, 341\u2013345 (2010)","journal-title":"AMIA Ann. Symp. Proc."},{"issue":"1","key":"168_CR11","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa, M., Goto, S.: KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28(1), 27\u201330 (2000)","journal-title":"Nucleic Acids Res."},{"issue":"6","key":"168_CR12","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1007\/s10654-011-9554-9","volume":"26","author":"MJ Knol","year":"2011","unstructured":"Knol, M.J., VanderWeele, T.J., Groenwold, R.H.H., Klungel, O.H., Rovers, M.M., Grobbee, D.E.: Estimating measures of interaction on an additive scale for preventive exposures. Eur. J. Epidemiol. 26(6), 433\u2013438 (2011)","journal-title":"Eur. J. Epidemiol."},{"issue":"6","key":"168_CR13","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1093\/oxfordjournals.aje.a112643","volume":"108","author":"LL Kupper","year":"1978","unstructured":"Kupper, L.L., Hogan, M.D.: Interaction in epidemiologic studies. Am. J. Epidemiol. 108(6), 447\u2013453 (1978)","journal-title":"Am. J. Epidemiol."},{"issue":"6","key":"168_CR14","doi-asserted-by":"publisher","first-page":"e0131-627","DOI":"10.1371\/journal.pone.0131627","volume":"10","author":"TD Le","year":"2015","unstructured":"Le, T.D., Zhang, J., Liu, L., Li, J.: Ensemble methods for miRNA target prediction from expression data. PLoS ONE 10(6), e0131-627 (2015)","journal-title":"PLoS ONE"},{"issue":"7","key":"168_CR15","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/S0092-8674(03)01018-3","volume":"115","author":"BP Lewis","year":"2003","unstructured":"Lewis, B.P., Shih, I.H., Jones-Rhoades, M.W., Bartel, D.P., Burge, C.B.: Prediction of mammalian microRNA targets. Cell 115(7), 787\u2013798 (2003)","journal-title":"Cell"},{"issue":"2","key":"168_CR16","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1145\/2746410","volume":"7","author":"J Li","year":"2015","unstructured":"Li, J., Le, T.D., Liu, L., Liu, J., Jin, Z., Sun, B., Ma, S.: From observational studies to causal rule mining. ACM Trans. Intell. Syst. Technol. 7(2), 14 (2015)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"99","key":"168_CR17","first-page":"1","volume":"PP","author":"J Li","year":"2016","unstructured":"Li, J., Ma, S., Le, T., Liu, L., Liu, J.: Causal decision trees. IEEE Trans. Knowl. Data Eng. PP(99), 1\u201314 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"5","key":"168_CR18","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/S0003-4878(00)00060-0","volume":"45","author":"FDK Liddell","year":"2001","unstructured":"Liddell, F.D.K.: The interaction of asbestos and smoking in lung cancer. Ann. Occup. Hyg. 45(5), 341\u2013356 (2001)","journal-title":"Ann. Occup. Hyg."},{"key":"168_CR19","unstructured":"Ma, S., Li, J., Liu, L., Le, T.D.: Discovering Context Specific Causal Relationships. arXiv preprint \n                    arXiv:1808.06316\n                    \n                   (2018)"},{"key":"168_CR20","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.knosys.2015.10.018","volume":"92","author":"S Ma","year":"2016","unstructured":"Ma, S., Li, J., Liu, L., Le, T.D.: Mining combined causes in large data sets. Knowl. Based Syst. 92, 104\u2013111 (2016)","journal-title":"Knowl. Based Syst."},{"issue":"19","key":"168_CR21","doi-asserted-by":"publisher","first-page":"2478","DOI":"10.1093\/bioinformatics\/btp435","volume":"25","author":"DJ Miller","year":"2009","unstructured":"Miller, D.J., Zhang, Y., Yu, G., Liu, Y., Chen, L., Langefeld, C.D., Herrington, D., Wang, Y.: An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions. Bioinformatics 25(19), 2478\u20132485 (2009)","journal-title":"Bioinformatics"},{"issue":"2","key":"168_CR22","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1037\/0033-295X.111.2.455","volume":"111","author":"LR Novick","year":"2004","unstructured":"Novick, L.R., Cheng, P.W.: Assessing interactive causal influence. Psychol. Rev. 111(2), 455 (2004)","journal-title":"Psychol. Rev."},{"key":"168_CR23","volume-title":"Causality: Models, Reasoning and Inference","author":"J Pearl","year":"2000","unstructured":"Pearl, J.: Causality: Models, Reasoning and Inference. Cambridge University Press, Cambridge (2000)"},{"issue":"7","key":"168_CR24","doi-asserted-by":"publisher","first-page":"e47","DOI":"10.1093\/nar\/gkv007","volume":"43","author":"ME Ritchie","year":"2015","unstructured":"Ritchie, M.E., Phipson, B., Wu, D., Hu, Y., Law, C.W., Shi, W., Smyth, G.K.: Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43(7), e47 (2015)","journal-title":"Nucleic Acids Res."},{"key":"168_CR25","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-1-4612-1284-3_2","volume-title":"Statistical Models in Epidemiology, the Environment, and Clinical Trials","author":"James M. Robins","year":"2000","unstructured":"Robins, J.M.: Marginal structural models versus structural nested models as tools for causal inference. In: Halloran, M.E., Berry, D. (eds.) Statistical Models in Epidemiology, the Environment, and Clinical Trials, pp 95\u2013133. Springer, New York (2000)"},{"issue":"1","key":"168_CR26","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1093\/biomet\/70.1.41","volume":"70","author":"PR Rosenbaum","year":"1983","unstructured":"Rosenbaum, P.R., Rubin, D.B.: The central role of the propensity score in observational studies for causal effects. Biometrika 70(1), 41\u201355 (1983)","journal-title":"Biometrika"},{"issue":"387","key":"168_CR27","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1080\/01621459.1984.10478078","volume":"79","author":"PR Rosenbaum","year":"1984","unstructured":"Rosenbaum, P.R., Rubin, D.B.: Reducing bias in observational studies using subclassification on the propensity score. J. Am. Stat. Assoc. 79(387), 516\u2013524 (1984)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"168_CR28","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1093\/biomet\/asr055","volume":"98","author":"M Rosenblum","year":"2011","unstructured":"Rosenblum, M., van der Laan, M.J.: Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment. Biometrika 98(4), 845\u2013860 (2011)","journal-title":"Biometrika"},{"issue":"6","key":"168_CR29","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1093\/oxfordjournals.aje.a112335","volume":"104","author":"KJ Rothman","year":"1976","unstructured":"Rothman, K.J.: Causes. Am. J. Epidemiol. 104(6), 587\u2013592 (1976)","journal-title":"Am. J. Epidemiol."},{"key":"168_CR30","volume-title":"Modern Epidemiology","author":"KJ Rothman","year":"2008","unstructured":"Rothman, K.J., Greenland, S., Lash, T.L.: Modern Epidemiology. Lippincott Williams & Wilkins, Philadelphia (2008)"},{"issue":"5","key":"168_CR31","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1037\/h0037350","volume":"66","author":"DB Rubin","year":"1974","unstructured":"Rubin, D.B.: Estimating causal effects of treatments in randomized and nonrandomized studies. J. Educ. Psychol. 66(5), 688 (1974)","journal-title":"J. Educ. Psychol."},{"issue":"2","key":"168_CR32","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s41060-017-0063-0","volume":"4","author":"J Song","year":"2017","unstructured":"Song, J., Satoshi, O., Masahito, K.: Tell cause from effect: models and evaluation. Int. J. Data Sci. Anal. 4(2), 99\u2013112 (2017)","journal-title":"Int. J. Data Sci. Anal."},{"issue":"2","key":"168_CR33","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1093\/jamia\/ocu017","volume":"22","author":"ND Soulakis","year":"2015","unstructured":"Soulakis, N.D., Carson, M.B., Lee, Y.J., Schneider, D.H., Skeehan, C.T., Scholtens, D.M.: Visualizing collaborative electronic health record usage for hospitalized patients with heart failure. J. Am. Med. Inf. Assoc. 22(2), 299\u2013311 (2015)","journal-title":"J. Am. Med. Inf. Assoc."},{"issue":"6","key":"168_CR34","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1097\/EDE.0b013e3181ba333c","volume":"20","author":"TJ Weele Van der","year":"2009","unstructured":"Van der Weele, T.J.: On the distinction between interaction and effect modification. Epidemiology 20(6), 863\u2013871 (2009)","journal-title":"Epidemiology"},{"key":"168_CR35","unstructured":"Van der Weele, T.J., Robins, J.M.: A theory of sufficient cause interactions. COBRA Preprint Series, p.\u00a013 (2006)"},{"issue":"1","key":"168_CR36","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1093\/biomet\/asm090","volume":"95","author":"TJ Weele Van der","year":"2008","unstructured":"Van der Weele, T.J., Robins, J.M.: Empirical and counterfactual conditions for sufficient cause interactions. Biometrika 95(1), 49\u201361 (2008)","journal-title":"Biometrika"},{"issue":"5","key":"168_CR37","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.diabet.2014.01.003","volume":"40","author":"KS Vimaleswaran","year":"2014","unstructured":"Vimaleswaran, K.S., Power, C., Hyppnen, E.: Interaction between vitamin D receptor gene polymorphisms and 25-hydroxyvitamin D concentrations on metabolic and cardiovascular disease outcomes. Diabetes Metab. 40(5), 386\u2013389 (2014)","journal-title":"Diabetes Metab."},{"issue":"3","key":"168_CR38","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1080\/02724980143000596","volume":"55","author":"PA White","year":"2002","unstructured":"White, P.A.: Causal judgement from contingency information: judging interactions between two causal candidates. Q. J. Exp. Psychol. Sect. A 55(3), 819\u2013838 (2002)","journal-title":"Q. J. Exp. Psychol. Sect. A"},{"key":"168_CR39","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1007\/978-3-642-40991-2_37","volume-title":"Advanced Information Systems Engineering","author":"Shuo Yang","year":"2013","unstructured":"Yang, S., Natarajan, S.: Knowledge intensive learning: combining qualitative constraints with causal independence for parameter learning in probabilistic models. In: Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, pp 580\u2013595. Springer, Berlin (2013)"}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-018-0168-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41060-018-0168-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-018-0168-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,12]],"date-time":"2020-01-12T00:16:30Z","timestamp":1578788190000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41060-018-0168-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,12]]},"references-count":39,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["168"],"URL":"https:\/\/doi.org\/10.1007\/s41060-018-0168-0","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,12]]},"assertion":[{"value":"24 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}