The Surveillance Research Program is hosting a series of webinars highlighting SEER data, software and web tools to access and analyze the data, and statistical methods relevant to cancer surveillance data. In 2022, we will be hosting webinars open to the public.
Incidence-based Mortality (IBM) Tool to Partition Tumor-Specific Mortality Trends Using Factors Related to Cancer DiagnosisRegister
1:00PM - 3:00PM ET
Nadia Howlader and Steve Scoppa
An overview of the incidence-based mortality (IBM) tool to partition tumor-specific mortality trends using factors related to cancer diagnosis (e.g., histology, stage at diagnosis). We will cover topics such as why we need to use IBM, what is IBM, application of IBM for specific a cancer site. A live demonstration of using the SEER*Stat software.
Multiple Primary - Standardized Incidence/Mortality Ratios (MP-SIR/SMR)
1:00PM - 3:00PM ET
Sara Schonfeld, Rochelle Curtis, Steve Scoppa
An overview of methods for conducting analyses of multiple primary cancers using SEER program data. A live demonstration is provided on using the SEER*Stat MP-SIR/SMR program.
Delay and Joinpoint
Don Green, Jeff Bryne, Huann-Sheng Chen
An overview of methods to estimate adjustment delay in reporting using SEER*Stat to calculate delay-adjusted incidence rates, overview of the Joinpoint method, and using Joinpoint to calculate trends in delay-adjusted and not-delay-adjusted incidence rates.
Annie Noone, Nadia Howlader, Lynn Ries
An overview of the variables by categories: demographics, tumor characteristics, treatment, follow-up and dates; Cancer type recodes; Cancer type specific variables; Staging definitions and caution when using them over time.
SEER and SEER*Stat Overview
Nadia Howlader, Steve Scoppa
An overview on the SEER program, SEER data, and SEER*Stat and its new GUI. A live demonstration is provided on the graphical capabilities in the new SEER*Stat, research versus research plus, user-defined variables, and more.