{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T21:38:35Z","timestamp":1791927515986,"version":"4.3.4"},"reference-count":28,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2012,10,22]],"date-time":"2012-10-22T00:00:00Z","timestamp":1350864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"tdm","delay-in-days":1044,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2013,5,30]]},"abstract":"<jats:p>We propose an extension of the landmark model for ordinary survival data as a new approach to the problem of dynamic prediction in competing risks with time\u2010dependent covariates. We fix a set of landmark time points <jats:italic>t<\/jats:italic><jats:sub>LM<\/jats:sub> within the follow\u2010up interval. For each of these landmark time points <jats:italic>t<\/jats:italic><jats:sub>LM<\/jats:sub>, we create a landmark data set by selecting individuals at risk at <jats:italic>t<\/jats:italic><jats:sub>LM<\/jats:sub>; we fix the value of the time\u2010dependent covariate in each landmark data set at <jats:italic>t<\/jats:italic><jats:sub>LM<\/jats:sub>. We assume Cox proportional hazard models for the cause\u2010specific hazards and consider smoothing the (possibly) time\u2010dependent effect of the covariate for the different landmark data sets. Fitting this model is possible within the standard statistical software. We illustrate the features of the landmark modelling on a real data set on bone marrow transplantation. Copyright \u00a9 2012 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.5665","type":"journal-article","created":{"date-parts":[[2012,10,22]],"date-time":"2012-10-22T06:26:39Z","timestamp":1350887199000},"page":"2031-2047","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["Dynamic prediction by landmarking in competing risks"],"prefix":"10.1002","volume":"32","author":[{"given":"M. A.","family":"Nicolaie","sequence":"first","affiliation":[{"name":"Department of Medical Statistics and Bioinformatics Leiden University Medical Center  PO Box 9600 2300 RC Leiden The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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