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SEER*Stat Software

Attention: Help us improve the next version of SEER*Stat. SEER*Stat Beta is now available for you to test and provide feedback on the future version of the software.

The SEER*Stat statistical software provides a convenient, intuitive mechanism for the analysis of SEER and other cancer-related databases. It is a powerful PC tool to view individual cancer records and to produce statistics for studying the impact of cancer on a population. To use SEER*Stat with the SEER Research Data, you must have access to the data before using the software.

Visit the following sections to learn more about SEER*Stat:

• Getting Started - Learn how to access the software and data, get answers to frequently asked questions, and where to go for technical support.
• Tutorials - Follow step-by-step tutorials designed to demonstrate how to use SEER*Stat and to calculate the many statistics available.
• Analysis Data - Find out what databases can be analyzed in SEER*Stat.
• SEER*Stat Installation - Obtain software updates, learn how to use the auto-update feature, and access a list of technical specifications and revision history.

Other Resources:

• Using Your Own Data (SEER*Prep) - Software to convert your data to the file format required by SEER*Stat.
• Analytic Software - Access several other software tools developed for the analysis of cancer statistics.

• Frequencies & Rates
  • Frequencies & distributions
  • Crude rates (non-adjusted)
  • Trends (percent change, annual percent change)
  • Age-adjusted rates
  • Delay-adjusted incidence rates
  • Incidence-based mortality rates
  • Rate ratios for significance testing
• Survival Statistics (See Overview of Cancer Survival Statistics for definitions)
  • Observed survival
  • Relative survival
  • Net (Pohar-Perme) Survival
  • Cause-specific survival
  • Conditional survival
  • Actuarial and Kaplan-Meier methods
  • Period Method
• Limited-duration Prevalence
• Multiple Primary Standardized Incidence/Mortality Ratios
• Case Listings
  • View data values for individual records
  • Specify variables and define the cohort of records
  • Export data for analysis in SAS or other tools

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