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Updated: Jul 12, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
Wen-Qiang Che1,2, Yuan-Jie Li3, Chi-Kwan Tsang4
1Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Abstract:
In the United States (US), the Surveillance, Epidemiology, and End Results (SEER) program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data. This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field. Currently, the SEER program covers approximately half of the total cancer patients in the US. A growing number of clinical studies have applied the SEER database in various aspects. However, the intrinsic features of the SEER database, such as the huge data volume and complexity of data types, have hindered its application. In this review, we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database. Therefore, the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.
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