{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T07:23:32Z","timestamp":1788679412097,"version":"build-2803163510"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2001,1,1]],"date-time":"2001-01-01T00:00:00Z","timestamp":978307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001,1,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>This paper proposes a method to assess the local influence in a minor perturbation of a statistical model with incomplete data. The idea is to utilize Cook's approach to the conditional expectation of the complete-data log-likelihood function in the EM algorithm. It is shown that the method proposed produces analytic results that are very similar to those obtained from a classical local influence approach based on the observed data likelihood function and has the potential to assess a variety of complicated models that cannot be handled by existing methods. An application to the generalized linear mixed model is investigated. Some illustrative artificial and real examples are presented.<\/jats:p>","DOI":"10.1111\/1467-9868.00279","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T19:36:52Z","timestamp":1047497812000},"page":"111-126","source":"Crossref","is-referenced-by-count":170,"title":["Local Influence for Incomplete Data Models"],"prefix":"10.1093","volume":"63","author":[{"given":"Hong-Tu","family":"Zhu","sequence":"first","affiliation":[{"name":"University of Victoria , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sik-Yum","family":"Lee","sequence":"additional","affiliation":[{"name":"Chinese University of Hong Kong , People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2002,1,6]]},"container-title":["Journal of the Royal Statistical Society Series B: Statistical Methodology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2F1467-9868.00279","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/63\/1\/111\/49590291\/jrsssb_63_1_111.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/63\/1\/111\/49590291\/jrsssb_63_1_111.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T09:42:58Z","timestamp":1679478178000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jrsssb\/article\/63\/1\/111\/7083335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2002,1,6]]},"published-print":{"date-parts":[[2001,1,1]]}},"URL":"https:\/\/doi.org\/10.1111\/1467-9868.00279","relation":{},"ISSN":["1369-7412","1467-9868"],"issn-type":[{"value":"1369-7412","type":"print"},{"value":"1467-9868","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2001,1]]},"published":{"date-parts":[[2001,1,1]]}}}