On the Need for Landmark Analysis or Time-dependent Covariates.

No AccessJournal of UrologyJU Forum1 Jun 2023On the Need for Landmark Analysis or Time-dependent Covariates Emily C. Zabor and Melissa Assel Emily C. ZaborEmily C. Zabor *Correspondence: Department of Quantitative Health Sciences, Taussig Cancer Institute, Cleveland Clinic, 9500 Euclid Ave, CA-60, Cleveland, OH 44195 telephone: 216-387-8625; E-mail Address: [email protected] https://orcid.org/0000-0002-1402-4498 Department of Quantitative Health Sciences, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio More articles by this author and Melissa AsselMelissa Assel Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003459AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail REFERENCES 1. . Guidelines for reporting of statistics for clinical research in urology. BJU Int. 2019; 123(3):401-410. Crossref, Medline, Google Scholar 2. . Analysis of survival by tumor response. J Clin Oncol. 1983; 1(11):710-719. Crossref, Medline, Google Scholar 3. . The role of cytoreductive nephrectomy in metastatic renal cell carcinoma: a real-world multi-institutional analysis. J Urol. 2022; 208(1):71-79. Link, Google Scholar 4. . Nadir prostate-specific antigen as an independent predictor of survival outcomes: a post hoc analysis of the PROSPER randomized clinical trial. J Urol. 2023; 209(3):532-539. Link, Google Scholar 5. . Long-term outcomes following active surveillance of low-grade prostate cancer: a population-based study using a landmark approach. J Urol. 2023; 209(3):540-548. Link, Google Scholar 6. . A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model. Stat Med. 2020; 39(2):103-113. Crossref, Medline, Google Scholar 7. . Time-dependent covariates in the Cox proportional-hazards regression model. Annu Rev Public Health. 1999; 20(1):145-157. Crossref, Medline, Google Scholar Support: This work was supported in part by the National Institutes of Health/National Cancer Institute (NIH/NCI) with a Cancer Center Support Grant to Memorial Sloan Kettering Cancer Center [P30 CA008748]. Conflict of Interest: The Authors have no conflicts of interest to disclose. Ethics Statement: This study was exempt from Institutional Review Board review. Author Contributions: Both Authors read and approved the final version of this manuscript, and meet all requirements for authorship. © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue 6June 2023Page: 1060-1062 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Emily C. Zabor Department of Quantitative Health Sciences, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio *Correspondence: Department of Quantitative Health Sciences, Taussig Cancer Institute, Cleveland Clinic, 9500 Euclid Ave, CA-60, Cleveland, OH 44195 telephone: 216-387-8625; E-mail Address: [email protected] More articles by this author Melissa Assel Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York More articles by this author Expand All Support: This work was supported in part by the National Institutes of Health/National Cancer Institute (NIH/NCI) with a Cancer Center Support Grant to Memorial Sloan Kettering Cancer Center [P30 CA008748]. Conflict of Interest: The Authors have no conflicts of interest to disclose. Ethics Statement: This study was exempt from Institutional Review Board review. Author Contributions: Both Authors read and approved the final version of this manuscript, and meet all requirements for authorship. Advertisement PDF downloadLoading ...