Literature DB >> 22553476

Age-Adjusted US Cancer Death Rate Predictions.

Matthew J Hayat1, Ram C Tiwari, Kaushik Ghosh, Mark Hachey, Ben Hankey, Rocky Feuer.   

Abstract

The likelihood of developing cancer during one's lifetime is approximately one in two for men and one in three for women in the United States. Cancer is the second-leading cause of death and accounts for one in every four deaths. Evidence-based policy planning and decision making by cancer researchers and public health administrators are best accomplished with up-to-date age-adjusted site-specific cancer death rates. Because of the 3-year lag in reporting, forecasting methodology is employed here to estimate the current year rates based on complete observed death data up through three years prior to the current year. The authors expand the State Space Model (SSM) statistical methodology currently in use by the American Cancer Society (ACS) to predict age-adjusted cancer death rates for the current year. These predictions are compared with those from the previous Proc Forecast ACS method and results suggest the expanded SSM performs well.

Entities:  

Year:  2010        PMID: 22553476      PMCID: PMC3339771     

Source DB:  PubMed          Journal:  J Data Sci        ISSN: 1680-743X


  2 in total

1.  Cancer statistics, trends, and multiple primary cancer analyses from the Surveillance, Epidemiology, and End Results (SEER) Program.

Authors:  Matthew J Hayat; Nadia Howlader; Marsha E Reichman; Brenda K Edwards
Journal:  Oncologist       Date:  2007-01

2.  A new method of predicting US and state-level cancer mortality counts for the current calendar year.

Authors:  Ram C Tiwari; Kaushik Ghosh; Ahmedin Jemal; Mark Hachey; Elizabeth Ward; Michael J Thun; Eric J Feuer
Journal:  CA Cancer J Clin       Date:  2004 Jan-Feb       Impact factor: 508.702

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.