Description of Methods & Software for Population-Based Cancer Statistics

The graphic is a flowchart showing statistical methods and associated software developed by the Surveillance Research Program. The diagram is organized by statistic type. Incidence, mortality, survival, and prevalence statistics all have some statistical methods implemented in SEER*Stat software. Some methods involving complex modeling are developed in separate applications that can be used with SEER*Stat.

The statistical methods and software shown in the diagram are:

• Cancer Incidence Statistics
  • Delay Model
  • SEER*Stat Statistical Methods (which includes age-adjusted rates, gamma confidence intervals for age-adjusted rates, trends in rates, risk-adjusted incidence Rates, and multiple primaries (MP-SIR))
  • Joinpoint - Trend Analysis
  • DevCan - Lifetime Risk
• Cancer Mortality Statistics:
  • SEER*Stat Statistical Methods (which includes Age-adjusted Rates, Gamma Confidence Intervals for Age-adjusted Rates, Trends in Rates, and Incidence-based Mortality)
  • Joinpoint - Trend Analysis (software can use output from SEER*Stat)
  • DevCan - Lifetime Risk (software can use output from SEER*Stat)
• Prevalence of Cancer:
  • Limited-Duration Prevalence in SEER*Stat
  • ComPrev - Complete Prevalence (software can use output from SEER*Stat)
  • ProjPrev - Projected Prevalence (software can use output from SEER*Stat)
• Cancer Survival Statistics:
  • SEER*Stat Statistical Methods (which includes Observed, Net, and Crude survival, and the Period Method)
  • CanSurv - Survival Models (software can use output from SEER*Stat)
• Spatial Statistics
  • Head-Bang
  • ESTAT - Exploratory Spatial Temporal Analysis (under development)
  • SaTScan - Clusters