Updated Methodology for Projecting U.S.- and State-Level Cancer Counts for the Current Calendar Year: Part I: Spatio-temporal Modeling for Cancer Incidence.

Liu, Benmei; Zhu, Li; Zou, Joe; Chen, Huann-Sheng; Miller, Kimberly D; Jemal, Ahmedin; Siegel, Rebecca L; Feuer, Eric J

Liu, Benmei; Zhu, Li; Zou, Joe; Chen, Huann-Sheng; Miller, Kimberly D; Jemal, Ahmedin; Siegel, Rebecca L; Feuer, Eric J.

Affiliation

Liu B; Division of Cancer Control and Population Sciences, NCI, Rockville, Maryland. liub2@mail.nih.gov.
Zhu L; Division of Cancer Control and Population Sciences, NCI, Rockville, Maryland.
Zou J; Information Management Services, Inc, Calverton, Maryland.
Chen HS; Division of Cancer Control and Population Sciences, NCI, Rockville, Maryland.
Miller KD; American Cancer Society, Atlanta, Georgia.
Jemal A; American Cancer Society, Atlanta, Georgia.
Siegel RL; American Cancer Society, Atlanta, Georgia.
Feuer EJ; Division of Cancer Control and Population Sciences, NCI, Rockville, Maryland.

Cancer Epidemiol Biomarkers Prev ; 30(9): 1620-1626, 2021 09.

Article in En | MEDLINE | ID: mdl-34162657

Subject(s)

Neoplasms; American Cancer Society; Bayes Theorem; Female; Forecasting; Humans; Incidence; Male; Neoplasms/epidemiology; United States/epidemiology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neoplasms Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: Cancer Epidemiol Biomarkers Prev Journal subject: BIOQUIMICA / EPIDEMIOLOGIA / NEOPLASIAS Year: 2021 Document type: Article Country of publication: United States

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