{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T13:15:24Z","timestamp":1779887724302,"version":"3.53.1"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[1999,7,1]],"date-time":"1999-07-01T00:00:00Z","timestamp":930787200000},"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":[[1999,7,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>Suppose that data are generated according to the model f(y|x; \u03b8) g(x), where y is a response and x are covariates. We derive and compare semiparametric likelihood and pseudolikelihood methods for estimating \u03b8 for situations in which units generated are not fully observed and in which it is impossible or undesirable to model the covariate distribution. The probability that a unit is fully observed may depend on y, and there may be a subset of covariates which is observed only for a subsample of individuals. Our key assumptions are that the probability that a unit has missing data depends only on which of a finite number of strata that (y, x) belongs to and that the stratum membership is observed for every unit. Applications include case\u2013control studies in epidemiology, field reliability studies and broad classes of missing data and measurement error problems. Our results make fully efficient estimation of \u03b8 feasible, and they generalize and provide insight into a variety of methods that have been proposed for specific problems.<\/jats:p>","DOI":"10.1111\/1467-9868.00185","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T19:35:41Z","timestamp":1047497741000},"page":"413-438","source":"Crossref","is-referenced-by-count":153,"title":["Semiparametric Methods for Response-Selective and Missing Data Problems in Regression"],"prefix":"10.1093","volume":"61","author":[{"given":"J. F.","family":"Lawless","sequence":"first","affiliation":[{"name":"University of Waterloo , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. D.","family":"Kalbfleisch","sequence":"additional","affiliation":[{"name":"University of Waterloo , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C. J.","family":"Wild","sequence":"additional","affiliation":[{"name":"University of Auckland , New Zealand"}],"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%2F1467-9868.00185","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/61\/2\/413\/49590202\/jrsssb_61_2_413.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/61\/2\/413\/49590202\/jrsssb_61_2_413.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T09:42:27Z","timestamp":1679478147000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jrsssb\/article\/61\/2\/413\/6905354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,7,1]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2002,1,6]]},"published-print":{"date-parts":[[1999,7,1]]}},"URL":"https:\/\/doi.org\/10.1111\/1467-9868.00185","relation":{},"ISSN":["1369-7412","1467-9868"],"issn-type":[{"value":"1369-7412","type":"print"},{"value":"1467-9868","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[1999,7]]},"published":{"date-parts":[[1999,7,1]]}}}