title: A population model of prostate cancer incidence.
abstract: Introduction of screening for prostate cancer using the prostate-specific antigen (PSA) marker of the disease led to remarkable dynamics of the incidence of the disease observed in the last two decades. A statistical model is used to provide a link between dissemination of PSA and the observed transient population responses. The model is used to estimate lead time, overdiagnosis and other relevant characteristics of prostate cancer screening.
authors.affiliation: Department of Public Health Sciences, Division of Biostatistics, University of California Davis, One Shields Avenue, Davis, CA 95616, USA. atsodikov@ucdavis.edu
authors.forename: A
authors.initials: A
authors.lastname: Tsodikov
authors.forename: A
authors.initials: A
authors.lastname: Szabo
authors.forename: J
authors.initials: J
authors.lastname: Wegelin
mesh_terms: D017668:Age of Onset; D000368:Aged; D001699:Biometry; D006801:Humans; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data; D008875:Middle Aged; D015233:Models, Statistical; D011153:Population; D017430:Prostate-Specific Antigen / Q000097:blood; D011471:Prostatic Neoplasms / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology*; D018426:SEER Program; D013997:Time Factors; D014481:United States / Q000453:epidemiology
chemical_list: D017430:Prostate-Specific Antigen