Partitioning of time trends in prevalence and mortality of lung cancer

Author:

Akushevich Igor1ORCID,Kravchenko Julia2,Yashkin Arseniy P.1,Fang Fang3,Yashin Anatoliy I.1

Affiliation:

1. Biodemography of Aging Research Unit, Center for Population Health and AgingDuke University Durham North Carolina

2. Department of SurgeryDuke University School of Medicine Durham North Carolina

3. Center for Genomics in Public Health and Medicine, RTI International Research Triangle Park North Carolina

Funder

National Institute on Aging

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference54 articles.

1. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

2. Theory of partitioning of disease prevalence and mortality in observational data

3. National Cancer Institute DCCPS Surveillance Research Program.Surveillance Epidemiology and End Results (SEER) Program Research Data (1973–2015).www.seer.cancer.gov. Released April 2018 based on the November 2017 submission.

4. National Cancer Institute DCCPS Surveillance Research Program.Surveillance Epidemiology and End Results (SEER) Program SEER*Stat Database: Populations ‐ Total U.S. (1969‐2016) ‐ Linked To County Attributes ‐ Total U.S. 1969‐2016 Counties.www.seer.cancer.gov. Released November 2017.

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