Cancer prevalence estimates based on tumour registry data in the Surveillance, Epidemiology, and End Results (SEER) Program | Zendy

Ray M Merrill | Zendy; Riccardo Capocaccia | Zendy; Eric J. Feuer | Zendy; Angela B. Mariotto | Zendy

Open Access

Cancer prevalence estimates based on tumour registry data in the Surveillance, Epidemiology, and End Results (SEER) Program

Author(s) -

Ray M Merrill,

Riccardo Capocaccia,

Eric J. Feuer,

Angela B. Mariotto

Publication year - 2000

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/29.2.197

Subject(s) - medicine , epidemiology , surveillance, epidemiology, and end results , cancer , cancer registry , demography , cervix , incidence (geometry) , colorectal cancer , gynecology , oncology , mathematics , sociology , geometry

The Connecticut Tumor Registry (CTR) has collected cancer data for a sufficiently long period of time to capture essentially all prevalent cases of cancer, and to provide unbiased estimates of cancer prevalence. However, prevalence proportions estimated from Connecticut data may not be representative of the total US, particularly for racial/ethnic subgroups. The purpose of this study is to apply the modelling approach developed by Capocaccia and De Angelis to cancer data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute to obtain more representative US site-specific cancer prevalence proportion estimates for white and black patients.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research