Methods & Tools for Population-based Cancer Statistics

The Surveillance Research Program provides innovative methods and software tools for the analysis and interpretation of cancer statistics.

The flowchart shows the statistical methods implemented in SEER*Stat software and the complex methods developed in separate tools used with SEER*Stat output.

Incidence and Mortality

Survival

Methods in SEER*Stat

SEER*Stat Survival

  • Relative Survival
  • Net Cancer-specific Survival
  • Expected Survival
  • Competing Risks Survival
  • Left-truncated Survival

Tools Using SEER*Stat Output

Prevalence

Methods in SEER*Stat

SEER*Stat Prevalence

  • Limited-Duration Prevalence

Tools Using SEER*Stat Output

Methods in SEER*Stat

SEER*Stat Survival

  • Relative Survival
  • Net Cancer-specific Survival
  • Expected Survival
  • Competing Risks Survival
  • Left-truncated Survival

SEER*Stat Prevalence

  • Limited-Duration Prevalence

Tools Using SEER*Stat Output

Joinpoint *
Trend Analysis

DevCan
Risk of Diagnosis and Death

CI*Rank
Confidence Intervals for Rates and Ranks

CP*Trends
Cohort vs. Period Temporal Trends

HD*Calc *
Health Disparities Calculator

CanSurv
Survival Models


Complete Prevalence


Projected Prevalence

* Joinpoint and HD*Calc are general tools that can be used with other data. HD*Calc is now available to support disparity studies using complex survey samples, such as national health survey sample data from the National Health Interview Survey or the Behavioral Risk Factor Surveillance System.

Last Updated: 27 Jan, 2020