{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T15:00:07Z","timestamp":1770994807105,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030501457","type":"print"},{"value":"9783030501464","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-50146-4_36","type":"book-chapter","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T17:04:54Z","timestamp":1591376694000},"page":"485-496","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Graphical Causal Models and Imputing Missing Data: A Preliminary Study"],"prefix":"10.1007","author":[{"given":"Rui Jorge","family":"Almeida","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Greetje","family":"Adriaans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuliya","family":"Shapovalova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,5]]},"reference":[{"issue":"5","key":"36_CR1","doi-asserted-by":"publisher","first-page":"e54","DOI":"10.2196\/jmir.1448","volume":"12","author":"M Blankers","year":"2010","unstructured":"Blankers, M., Koeter, M.W., Schippers, G.M.: Missing data approaches in eHealth research: simulation study and a tutorial for nonmathematically inclined researchers. J. Med. Internet Res. 12(5), e54 (2010)","journal-title":"J. Med. Internet Res."},{"issue":"3","key":"36_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v045.i03","volume":"45","author":"SV Buuren","year":"2011","unstructured":"Buuren, S.V., Groothuis-Oudshoorn, K.: MICE: multivariate imputation by chained equations in R. J. Stat. Softw. 45(3), 1\u201367 (2011)","journal-title":"J. Stat. Softw."},{"key":"36_CR3","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1214\/11-AOS940","volume":"40","author":"D Colombo","year":"2012","unstructured":"Colombo, D., Maathuis, M.H., Kalisch, M., Richardson, T.S.: Learning high-dimensional directed acyclic graphs with latent and selection variables. Ann. Stat. 40, 294\u2013321 (2012)","journal-title":"Ann. Stat."},{"key":"36_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-319-46227-1_24","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"R Cui","year":"2016","unstructured":"Cui, R., Groot, P., Heskes, T.: Copula PC algorithm for causal discovery from mixed data. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) ECML PKDD 2016. LNCS (LNAI), vol. 9852, pp. 377\u2013392. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46227-1_24"},{"issue":"2","key":"36_CR5","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/s11222-018-9810-x","volume":"29","author":"R Cui","year":"2018","unstructured":"Cui, R., Groot, P., Heskes, T.: Learning causal structure from mixed data with missing values using Gaussian copula models. Stat. Comput. 29(2), 311\u2013333 (2018). \nhttps:\/\/doi.org\/10.1007\/s11222-018-9810-x","journal-title":"Stat. Comput."},{"issue":"2","key":"36_CR6","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1214\/18-STS645","volume":"33","author":"P Ding","year":"2018","unstructured":"Ding, P., Li, F., et al.: Causal inference: a missing data perspective. Stat. Sci. 33(2), 214\u2013237 (2018)","journal-title":"Stat. Sci."},{"issue":"10","key":"36_CR7","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.jclinepi.2004.11.029","volume":"59","author":"MH Gorelick","year":"2006","unstructured":"Gorelick, M.H.: Bias arising from missing data in predictive models. J. Clin. Epidemiol. 59(10), 1115\u20131123 (2006)","journal-title":"J. Clin. Epidemiol."},{"issue":"1","key":"36_CR8","first-page":"3365","volume":"14","author":"N Harris","year":"2013","unstructured":"Harris, N., Drton, M.: PC algorithm for nonparanormal graphical models. J. Mach. Learn. Res. 14(1), 3365\u20133383 (2013)","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"36_CR9","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1097\/MIB.0000000000001034","volume":"23","author":"M de Jong","year":"2017","unstructured":"de Jong, M., et al.: Development and feasibility study of a telemedicine tool for all patients with IBD: MyIBDcoach. Inflamm. Bowel Dis. 23(4), 485\u2013493 (2017)","journal-title":"Inflamm. Bowel Dis."},{"issue":"10098","key":"36_CR10","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1016\/S0140-6736(17)31327-2","volume":"390","author":"MJ de Jong","year":"2017","unstructured":"de Jong, M.J., et al.: Telemedicine for management of inflammatory bowel disease (myIBDcoach): a pragmatic, multicentre, randomised controlled trial. Lancet 390(10098), 959\u2013968 (2017)","journal-title":"Lancet"},{"key":"36_CR11","unstructured":"Kalisch, M., M\u00e4chler, M., Colombo, D., Maathuis, M.H., B\u00fchlmann, P.: Causal inference using graphical models with the R package pcalg. J. Stat. Softw. 47(11), 1\u201326 (2012). \nhttp:\/\/www.jstatsoft.org\/v47\/i11\/"},{"key":"36_CR12","volume-title":"Statistical Analysis with Missing Data","author":"RJ Little","year":"2019","unstructured":"Little, R.J., Rubin, D.B.: Statistical Analysis with Missing Data, vol. 793. Wiley, Hoboken (2019)"},{"key":"36_CR13","unstructured":"Magliacane, S., Claassen, T., Mooij, J.M.: Joint causal inference on observational and experimental datasets. arXiv preprint \narXiv:1611.10351\n\n (2016)"},{"key":"36_CR14","doi-asserted-by":"crossref","unstructured":"Mohan, K., Pearl, J.: Graphical models for recovering probabilistic and causal queries from missing data. In: Advances in Neural Information Processing Systems, pp. 1520\u20131528 (2014)","DOI":"10.21236\/ADA614408"},{"key":"36_CR15","unstructured":"Mooij, J., Heskes, T.: Cyclic causal discovery from continuous equilibrium data (2013). arXiv preprint \narXiv:1309.6849"},{"key":"36_CR16","unstructured":"Mooij, J.M., Magliacane, S., Claassen, T.: Joint causal inference from multiple contexts. arXiv preprint \narXiv:1611.10351\n\n (2016)"},{"issue":"2","key":"36_CR17","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/BF01889587","volume":"2","author":"J Pearl","year":"1992","unstructured":"Pearl, J., Verma, T.S.: A statistical semantics for causation. Stat. Comput. 2(2), 91\u201395 (1992). \nhttps:\/\/doi.org\/10.1007\/BF01889587","journal-title":"Stat. Comput."},{"issue":"1","key":"36_CR18","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/1752-0509-7-111","volume":"7","author":"A Rau","year":"2013","unstructured":"Rau, A., Jaffr\u00e9zic, F., Nuel, G.: Joint estimation of causal effects from observational and intervention gene expression data. BMC Syst. Biol. 7(1), 111 (2013)","journal-title":"BMC Syst. Biol."},{"key":"36_CR19","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-319-19551-3_23","volume-title":"Artificial Intelligence in Medicine","author":"E Sokolova","year":"2015","unstructured":"Sokolova, E., Groot, P., Claassen, T., von Rhein, D., Buitelaar, J., Heskes, T.: Causal discovery from medical data: dealing with missing values and a mixture of discrete and continuous data. In: Holmes, J.H., Bellazzi, R., Sacchi, L., Peek, N. (eds.) AIME 2015. LNCS (LNAI), vol. 9105, pp. 177\u2013181. Springer, Cham (2015). \nhttps:\/\/doi.org\/10.1007\/978-3-319-19551-3_23"},{"key":"36_CR20","volume-title":"Causation, Prediction, and Search","author":"P Spirtes","year":"2000","unstructured":"Spirtes, P., Glymour, C.N., Scheines, R., Heckerman, D.: Causation, Prediction, and Search. MIT Press, Cambridge (2000)"},{"issue":"1","key":"36_CR21","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1093\/bioinformatics\/btr597","volume":"28","author":"DJ Stekhoven","year":"2012","unstructured":"Stekhoven, D.J., B\u00fchlmann, P.: Missforest-non-parametric missing value imputation for mixed-type data. Bioinformatics 28(1), 112\u2013118 (2012)","journal-title":"Bioinformatics"},{"issue":"4","key":"36_CR22","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1080\/10705511.2014.937378","volume":"22","author":"F Thoemmes","year":"2015","unstructured":"Thoemmes, F., Mohan, K.: Graphical representation of missing data problems. Struct. Eq. Model.: Multidiscip. J. 22(4), 631\u2013642 (2015)","journal-title":"Struct. Eq. Model.: Multidiscip. J."},{"issue":"3","key":"36_CR23","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1177\/0962280206074463","volume":"16","author":"S Van Buuren","year":"2007","unstructured":"Van Buuren, S.: Multiple imputation of discrete and continuous data by fully conditional specification. Stat. Methods Med. Res. 16(3), 219\u2013242 (2007)","journal-title":"Stat. Methods Med. Res."},{"issue":"4","key":"36_CR24","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1093\/ecco-jcc\/jjy177","volume":"13","author":"DS Wintjens","year":"2019","unstructured":"Wintjens, D.S., et al.: Novel perceived stress and life events precede flares of inflammatory bowel disease: a prospective 12-month follow-up study. J. Crohn\u2019s Colitis 13(4), 410\u2013416 (2019)","journal-title":"J. Crohn\u2019s Colitis"}],"container-title":["Communications in Computer and Information Science","Information Processing and Management of Uncertainty in Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50146-4_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T18:06:59Z","timestamp":1591380419000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50146-4_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030501457","9783030501464"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50146-4_36","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMU","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmu2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmu2020.inesc-id.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"213","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"146","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The IPMU 2020 was held virtually due to the coronavirus pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}