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Preparing your MORTALITY data to be used in SEER*Stat (Late Presentation)
This is the first in a series of webinars using SEER*Stat.

In order to accommodate an international audience this webinar will be presented twice on the same day. The webinars are free of charge.

A recording of each webinar in the series will be posted at https://education.naaccr.org/analytic-tools-webinars

SEER*Stat is a powerful statistical application that is available free of charge from the US National Cancer Institute and provides a mechanism for the analysis of population-based cancer registry data. It has modules for the analysis and reporting of the four most common cancer-related metrics: incidence, survival, prevalence, and mortality.

SEER*Prep is a software that converts text data files to the format required by SEER*Stat.

The objective of these series of webinars is to facilitate the use of SEER*Stat software for data that are not in accordance with the NAACCR format.

In these series of webinars, participants will be guided on a step-by-step fashion in the process of how to use SEER*Prep to generate a SEER*Stat database for analysis of incidence (webinar 1) and mortality (webinar 2) data, using the new global format. The demonstration will be done using real data. Future webinars will focus on how to use SEER*Stat more in-depth (dates TBD).

By the end of each of the first 2 webinars participants should be able to:
- Define a Directory to save user-defined data, reports and database description files
- Understand each variable in SEER*Prep’s database description file
- Make use of user-defined variables
- Convert text data into fixed length format using FixLen
- Generate a SEER*Stat database using SEER*Prep
- Check and, if necessary, correct any variable in the original file using the report generated by SEER*Prep
- Configure file locations in SEER*Stat
- Generate frequencies and rates (age-specific, crude, age-standardized) in SEER*Stat
- Generate standard reports (e.g.,

Feb 20, 2019 8:00 PM in Central Time (US and Canada)

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