{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T23:01:10Z","timestamp":1788476470252,"version":"build-2803163510"},"reference-count":40,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T00:00:00Z","timestamp":1786579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Excellence of Science programme","award":["G0I3422N"],"award-info":[{"award-number":["G0I3422N"]}]},{"name":"Senior Research Projects Fundamental Research","award":["G047524N"],"award-info":[{"award-number":["G047524N"]}]},{"DOI":"10.13039\/501100003130","name":"Research Foundation Flanders","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002913","name":"Flemish Government","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002913","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>We propose a semiparametric model to study the effect of covariates on the distribution of a censored event time while making minimal assumptions about the censoring mechanism. The model is partially identified, and we obtain bounds on the covariate effects which are allowed to be time-dependent. Moreover, these bounds can be interpreted as classical confidence intervals and are obtained by aggregating information in the conditional Peterson bounds over the covariate space. As a special case, our approach can be used to study the popular Cox proportional hazards model while leaving the censoring distribution as well as its dependence with the time of interest completely unspecified. A simulation study illustrates good finite sample performance of the method, and several data applications in both economics and medicine demonstrate its practicability on real data. All developed methodology is implemented in R and made available in the package depCensoring.<\/jats:p>","DOI":"10.1093\/jrsssb\/qkag119","type":"journal-article","created":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T11:55:26Z","timestamp":1784807726000},"source":"Crossref","is-referenced-by-count":1,"title":["Bounds for the regression parameters in dependently censored survival models"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9463-9942","authenticated-orcid":false,"given":"Ilias","family":"Willems","sequence":"first","affiliation":[{"name":"ORSTAT, KU Leuven , Naamsestraat 69, Leuven 3000 ,","place":["Belgium"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6849-8026","authenticated-orcid":false,"given":"Jad","family":"Beyhum","sequence":"additional","affiliation":[{"name":"Department of Economics, KU Leuven , Naamsestraat 69, Leuven 3000 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