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.
Introduction to the Health Disparities Calculator (HD*Calc)
1:00 - 3:00PM ET
Denise Riedel Lewis, Ph.D., Steve Scoppa
An overview of creating datasets and importing the data for use in HD*Calc, statistical software designed to generate multiple summary measures to evaluate and monitor health disparities. Examples using an absolute and a relative summary measure will be presented.
Overview of latest SEER data and the impact of COVID on cancer incidence trends and reporting
Nadia Howlader, Ph.D., Angela Mariotto, Ph.D., and Annie Noone, Ph.D.
The stay-at-home orders issued in early 2020 have had an impact on cancer diagnoses. This discussion of challenges in reporting cancer incidence and trends with this 2020 data point shows several examples of the impact in SEER*Explorer and monthly trends to highlight the trend in cancer diagnoses before and after the stay-at-home orders were issued.
Geospatial Tools and Resources: State Cancer Profiles and GIS Portal for Cancer Research
Dr. Zaria Tatalovich, Mr. Jeremy Lyman, and Mr. James Cucinelli
An overview of the geospatial tools that are useful for characterizing areas of the country in terms of cancer incidence, mortality, screening frequency, risk factors, socio-demographic and environmental variables relevant to cancer.
JPSurv - A Tool to Analyze and Estimate Cancer Survival Trends
Angela Mariotto, Ph.D. and Theresa Devasia, Ph.D.
An overview of the JPSurv webtool to analyze survival data by year of diagnosis and estimate calendar years when changes in survival have occurred. Covers topics such as the JPsurv model, trend survival measures in the survival and probability of death scales, and applications. A live demonstration is provided using the JPSurv webtool application.
Incidence-based Mortality (IBM) Tool to Partition Tumor-Specific Mortality Trends Using Factors Related to Cancer Diagnosis
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). Covers 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)
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.
Angela Mariotto, Nadia Howlader, Steve Scoppa
An overview on the five types of survival, age-standardized survival, period survival, and conditional survival.
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.