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
Methods in SEER*Stat
- Delay Model (Incidence Only)
- Age-Adjusted Rates and Trends
- Multiple Primary - Standardized Incidence Ratios (MP-SIR)
- Incidence-Based Mortality
Tools Using SEER*Stat Output
Survival
Methods in SEER*Stat
- Relative Survival
- Net Cancer-specific Survival
- Expected Survival
- Competing Risks Survival
- Left-truncated Survival
Tools Using SEER*Stat Output
Prevalence
Methods in SEER*Stat
- Limited-Duration Prevalence
Tools Using SEER*Stat Output
Methods in SEER*Stat
- Relative Survival
- Net Cancer-specific Survival
- Expected Survival
- Competing Risks Survival
- Left-truncated Survival
- 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
SPARC
Survey-based Population-adjusted Rate Calculator
HD*Calc *
Health Drivers Calculator
CanSurv
Survival Models
Oral Cancer Survival Calculator
Competing Risk Survival Tool
ComPrev
Complete Prevalence
ProjPrev
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.
Methods and tools developed for the statistical analysis and reporting of spatial and temporal patterns of cancer.