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.

DCCPS is dedicated to full accessibility and the inclusion of individuals with disabilities. We continuously strive to improve our recorded webinars’ accessibility, recognizing that some may be more accessible than others. If you encounter any recorded webinar that does not meet your accessibility needs, please feel free to reach out to srp@imsweb.com.

Upcoming Events

December
18,
2024

Preliminary Cancer Incidence Rates and Trends, 2000-2022
1:00PM - 2:00PM ET
Huann-Sheng Chen, Ph.D., Eric "Rocky" Feuer, Ph.D., Annie Noone, Ph.D.
This webinar will review the methodology for producing these incidence rates and a comparison to the official statistics include data received by NCI at 22-months from diagnosis.

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February
5,
2025

Small Area Estimation of Prostate-specific Antigen Testing in U.S. States and Counties
1:00PM - 2:00PM ET
James Cucinelli, Benmei Liu, Ph.D., Annie Noone, Ph.D.
This webinar will present the methodology used and demonstrate the final estimates and maps, which are released at the NCI’s Small area Estimation (SAE) website and the State Cancer Profiles’ website.

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Past Events

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2024

September
26,
2024
Introduction and Demo of the New SEER*Stat Interface

Don Green, Aaron Hall, Steve Scoppa
This presentation provides the audience with an overview and introduction of the new SEER*Stat interface, which includes updated features and graphics.

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May
6,
2024

Overview of the latest SEER data release

Annie Noone, Ph.D. and Nadia Howlader, Ph.D.
An overview of latest SEER data release on April 17, 2024, presenting current cancer incidence trends and discussing how the 2020 data point was handled during trend estimation.

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2023

November
15,
2023

Overview of cancer prevalence statistics and the SEER*Stat prevalence session

Angela Mariotto, Ph.D., Steve Scoppa
Dr. Angela Mariotto and Mr. Steve Scoppa provide an overview of cancer prevalence statistics and estimation methods using cancer registry data covering the estimation of SEER limited duration prevalence through SEER*Stat. This webinar also includes a live demonstration of the SEER*Stat limited duration prevalence session, as well as the method used to derive United States prevalence counts from limited-duration prevalence data.

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October
19,
2023

Introduction to the Health Disparities Calculator (HD*Calc)

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 are presented.

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April
20,
2023

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.

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2022

October
20,
2022

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.

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September
29,
2022

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.

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June
09,
2022

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.

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May
05,
2022

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.

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2021

November
04,
2021

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.

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November
2,
2021

SEER Variables

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.

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October
28,
2021

Survival

Angela Mariotto, Nadia Howlader, Steve Scoppa
An overview on the five types of survival, age-standardized survival, period survival, and conditional survival.

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October
14,
2021

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.

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