The ROC of Cox proportional hazards cure models with application in cancer studies.

Zhang, Yilong; Han, Xiaoxia; Shao, Yongzhao

Zhang, Yilong; Han, Xiaoxia; Shao, Yongzhao.

Affiliation

Zhang Y; Department of Biostatistics and Research Decision Sciences, Merck & Co., Inc, Kenilworth, NJ, USA.
Han X; Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA.
Shao Y; Departments of Population Health & Environmental Medicine, NYU Grossman School of Medicine, 180 Madison Ave, 4th Floor, Suite 455, New York, NY, 10016, USA. Yongzhao.Shao@nyulangone.org.

Lifetime Data Anal ; 27(2): 195-215, 2021 04.

Article in En | MEDLINE | ID: mdl-33507457

Subject(s)

Models, Statistical; Neoplasms; Area Under Curve; Humans; Proportional Hazards Models; ROC Curve

Key words

Area under the ROC curve; Latent cure status; Mixture cure models; Predictive accuracy; Sensitivity

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Full text: 1 Database: MEDLINE Main subject: Models, Statistical / Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Lifetime Data Anal Year: 2021 Type: Article Affiliation country: United States

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