title: Reply to Letter: Using novel risk stratification statistics to better understand the value of screening tests.
authors.affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD.
authors.forename: Hormuzd A
authors.initials: HA
authors.lastname: Katki
authors.affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD.|Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, People's Republic of China.
authors.forename: Fang-Hui
authors.initials: FH
authors.lastname: Zhao
authors.affiliation: Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, People's Republic of China.
authors.forename: Shang-Ying
authors.initials: SY
authors.lastname: Hu
authors.affiliation: Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, People's Republic of China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, People's Republic of China.
authors.forename: You-Lin
authors.initials: YL
authors.lastname: Qiao
authors.affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD.
authors.forename: Mark
authors.initials: M
authors.lastname: Schiffman
mesh_terms: D006801:Humans; D018570:Risk Assessment