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The evaluation can be challenging when the definite outcome , such as time to disease progression, is only partially ascertained on a limited set of study patients. Under settings where  is only observed on a subset but an auxiliary outcome correlated with  is available on all subjects, we propose an augmented estimation procedure for commonly used time\u2010dependent accuracy measures. The augmented estimators are easy to implement without imposing modeling assumptions between the two types of time\u2010to\u2010event outcomes and are more efficient than the complete\u2010case estimator. When the ascertainment of the outcome is non\u2010random and subject to informative censoring, we further augment our proposed method with inverse probability weighting to improve robustness. Results from simulation studies confirm the robustness and efficiency properties of the proposed estimators. The method is illustrated with data from the Canary Prostate Active Surveillance Study.<\/jats:p>","DOI":"10.1002\/sim.70072","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T12:39:26Z","timestamp":1745584766000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving Efficiency and Robustness of the Prognostic Accuracy of Biomarkers With Partial Incomplete Failure\u2010Time Data and Auxiliary Outcome: Application to Prostate Cancer Active Surveillance Study"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9125-9277","authenticated-orcid":false,"given":"Yunro","family":"Chung","sequence":"first","affiliation":[{"name":"College of Health Solutions Arizona State University  Phoenix AZ USA"},{"name":"Biodesign Center for Personalized Diagnostics Arizona State University  Tempe AZ USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianxi","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Harvard University  Boston MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Newcomb","sequence":"additional","affiliation":[{"name":"Department of Urology University of Washington  Seattle WA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel W.","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Urology University of Washington  Seattle WA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingye","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Fred Hutchinson Cancer Center  Seattle WA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.juro.2015.08.087"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2000.00337.x"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2009.01246.x"},{"volume-title":"Statistical Analysis With Missing Data. 333","year":"2014","author":"Little R. 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