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While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying molecular markers to predict survival often fail to account for HPV status. This oversight can result in missing important genes, whose effects are confounded or overshadowed by HPV, thereby limiting the biological interpretability and clinical utility of identified markers. To address these limitations, we propose a novel conditional screening method for ultrahigh\u2010dimensional right\u2010censored survival data that adjusts for HPV status. This approach identifies prognostic genes with independent associations with survival while also capturing HPV\u2010specific interactions and synergistic effects. The proposed method employs a two\u2010stage, model\u2010free framework that combines nonparametric statistics for initial screening with a unified false discovery rate (FDR) control procedure to refine feature selection. Simulation studies demonstrate its advantages over existing alternatives. Application of the conditional screening framework to HN cancer data from The Cancer Genome Atlas revealed a set of robust prognostic genes, uncovering new insights into the molecular pathways driving survival outcomes across HPV\u00a0subgroups.<\/jats:p>","DOI":"10.1002\/bimj.70141","type":"journal-article","created":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T11:48:15Z","timestamp":1779536895000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["HPV\u2010Adjusted Feature Screening With FDR Control in Head and Neck Cancer"],"prefix":"10.1002","volume":"68","author":[{"given":"Atika Farzana","family":"Urmi","sequence":"first","affiliation":[{"name":"Department of Biostatistics School of Public Health Virginia Commonwealth University Richmond Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenlu","family":"Ke","sequence":"additional","affiliation":[{"name":"Department of Statistical Sciences and Operations Research Virginia Commonwealth University Richmond Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dipankar","family":"Bandyopadhyay","sequence":"additional","affiliation":[{"name":"Department of Biostatistics School of Public Health Virginia Commonwealth University Richmond Virginia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,23]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(08)60728-X"},{"key":"e_1_2_9_3_1","first-page":"126","volume-title":"Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics","author":"Balasubramanian K.","year":"2013"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOS1755"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1337"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1097\/PAP.0000000000000179"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12265"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001523"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1018031098"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/00949655.2018.1466142"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2017.10.004"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610918.2020.1779293"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2018.11.019"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000001501"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1214\/19-AOS1880"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/bimj.201800269"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djn011"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00674.x"},{"issue":"1","key":"e_1_2_9_20_1","first-page":"101","article-title":"A Selective Overview of Variable Selection in High Dimensional Feature Space","volume":"20","author":"Fan J.","year":"2010","journal-title":"Statistica Sinica"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"e_1_2_9_22_1","first-page":"1750","volume-title":"Advances in Neural Information Processing Systems","author":"Fukumizu K.","year":"2009"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/11564089_7"},{"key":"e_1_2_9_24_1","unstructured":"Gretton A. 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