Methods & Tools for Population-based Cancer Statistics

To read more about a specific method or tool, click on a box in the chart below
Diagram of Statistical Methods and Software for Population-based Cancer Statistics Canstat Animator
Health Disparities Calculator (HD*Calc)
Read more about Incidence and Mortality Methods Read more about Incidence and Mortality Methods Read more about Survival Methods Read more about Prevalence methods Read more about Reporting Delay Read more about SEER Stat Read more about SEER Stat Read more about SEER Stat Read more about Joinpoint Health Disparities Calculator (HD*Calc)
Read more about Devcan Read more about Know your chances Read more about Cansurv Read more about ComPrev Read more about ProjPrev Read more about CI Rank Small area estimates Animated Atlas nci map stories Read more about Headbang Read more about SatScan Read more about State Cancer Profiles Read more about GeoViewer Canstat Animator

Incidence and Mortality

This section includes statistical methods and tools for the analysis and reporting of new cancer cases/incidence rates and number of deaths/mortality rates, including those available in SEER*Stat and Joinpoint software for fitting trend lines. HD*Calc generates multiple summary measures of disparities in incidence and mortality, at single points and over time, categorized by disparity groups (e.g., socioeconomic status, race/ethnicity).

Lifetime risk uses incidence and mortality rates to estimate the probabilities of developing or dying of cancer, from birth or conditional on a certain age. This section includes descriptions of the methodology, a link to an interactive site (Know Your Chances), and software to calculate lifetime risk (DevCan).

Survival

Cancer survival statistics are typically expressed as the proportion of patients alive at some point subsequent to the diagnosis of their cancer. Several statistical methods and software tools have been developed for the analysis and reporting on cancer survival statistics. Relative survival, net cancer-specific survival, and crude probability of death can be calculated using SEER*Stat. CanSurv can help with further analysis. HD*Calc generates multiple summary measures of disparities in survival, at single points and over time, categorized by disparity groups (e.g., socioeconomic status, race/ethnicity).

Prevalence

Represents new and preexisting cases alive on a certain date and is a measure of cancer survivorship. This section includes methods for calculating limited duration prevalence (in SEER*Stat), complete prevalence (ComPrev), and estimating US prevalence from prevalence in a registry area (ProjPrev). HD*Calc generates multiple summary measures of disparities in prevalence, at single points and over time, categorized by disparity groups (e.g., socioeconomic status, race/ethnicity).

Geospatial Methods and Tools

This section includes state-level and small area (multi-county, special region, or county-level) statistics (Small Area Estimates for Cancer-Related Measures, CI*Rank, State Cancer Profiles, and Geographic Information Systems (GIS)), as well as geospatial analysis and visualization tools: NCI Geographic Information Systems (GIS) Portal, with access to NCI Cancer Atlas, Animated Historical Cancer Atlas, and NCI Map Stories. The section also includes geostatistical software for the analysis of spatial and temporal patterns of cancer: Head-Bang (non-parametric smoothing software) and SaTScan (for evaluating reported spatial or space-time disease clusters, testing whether a disease is randomly distributed, and performing geographic surveillance of disease).