title: A new method of estimating United States and state-level cancer incidence counts for the current calendar year.
abstract: The American Cancer Society (ACS) has published the estimated number of new cancer cases and deaths in the current year for the United States that are commonly used by cancer control planners and the media. The methods used to produce these estimates have changed over the years as data (incidence) and statistical models improved. In this paper we present a new method that uses statistical models of cancer incidence that incorporate potential predictors of spatial and temporal variation of cancer occurrence and that account for delay in case reporting and then projects these estimated numbers of cases ahead 4 years using a piecewise linear (joinpoint) regression method. Based on evidence presented here that the new method produces more accurate estimates of the number of new cancer cases for years and areas for which data are available for comparison, the ACS has elected to use it to estimate the number of new cancer cases in Cancer Facts & Figures 2007 and in Cancer Statistics, 2007.
authors.affiliation: Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
authors.forename: Linda W
authors.initials: LW
authors.lastname: Pickle
authors.forename: Yongping
authors.initials: Y
authors.lastname: Hao
authors.forename: Ahmedin
authors.initials: A
authors.lastname: Jemal
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Zou
authors.forename: Ram C
authors.initials: RC
authors.lastname: Tiwari
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Ward
authors.forename: Mark
authors.initials: M
authors.lastname: Hachey
authors.forename: Holly L
authors.initials: HL
authors.lastname: Howe
authors.forename: Eric J
authors.initials: EJ
authors.lastname: Feuer
mesh_terms: D000570:American Cancer Society; D019992:Databases as Topic; D005260:Female; D005544:Forecasting; D006801:Humans; D015994:Incidence; D008297:Male; D015233:Models, Statistical; D009369:Neoplasms / Q000145:classification / Q000453:epidemiology*; D016012:Poisson Distribution; D011159:Population Surveillance / Q000379:methods*; D018570:Risk Assessment; D018426:SEER Program; D014481:United States / Q000453:epidemiology