title: A web tool for age-period-cohort analysis of cancer incidence and mortality rates.
abstract: BACKGROUND
  Age-period-cohort (APC) analysis can inform registry-based studies of cancer incidence and mortality, but concerns about statistical identifiability and interpretability, as well as the learning curves of statistical software packages, have limited its uptake.
  
  
  METHODS
  We implemented a panel of easy-to-interpret estimable APC functions and corresponding Wald tests in R code that can be accessed through a user-friendly Web tool.
  
  
  RESULTS
  Input data for the Web tool consist of age-specific numbers of events and person-years over time, in the form of a rate matrix of paired columns. Output functions include model-based estimators of cross-sectional and longitudinal age-specific rates, period and cohort rate ratios that incorporate the overall annual percentage change (net drift), and estimators of the age-specific annual percentage change (local drifts). The Web tool includes built-in examples for teaching and demonstration. User data can be input from a Microsoft Excel worksheet or by uploading a comma-separated-value file. Model outputs can be saved in a variety of formats, including R and Excel.
  
  
  CONCLUSIONS
  APC methodology can now be carried out through a freely available user-friendly Web tool. The tool can be accessed at http://analysistools.nci.nih.gov/apc/.
  
  
  CONCLUSIONS
  The Web tool can help cancer surveillance researchers make important discoveries about emerging cancer trends and patterns.
authors.affiliation: Biostatistics Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland. rosenbep@mail.nih.gov.
authors.forename: Philip S
authors.initials: PS
authors.lastname: Rosenberg
authors.affiliation: Biostatistics Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland.
authors.forename: David P
authors.initials: DP
authors.lastname: Check
authors.affiliation: Biostatistics Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, NIH, Bethesda, Maryland.
authors.forename: William F
authors.initials: WF
authors.lastname: Anderson
mesh_terms: D000367:Age Factors; D015331:Cohort Studies; D003627:Data Interpretation, Statistical; D006801:Humans; D015994:Incidence; D020407:Internet; D059032:Learning Curve; D009369:Neoplasms / Q000453:epidemiology* / Q000401:mortality; D011159:Population Surveillance; D012984:Software