How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology

被引:0
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作者
Wen-Qiang Che
Yuan-Jie Li
Chi-Kwan Tsang
Yu-Jiao Wang
Zheng Chen
Xiang-Yu Wang
An-Ding Xu
Jun Lyu
机构
[1] the First Affiliated Hospital of Jinan University,Department of Neurosurgery
[2] the First Affiliated Hospital of Jinan University,Department of Clinical Research
[3] the First Affiliated Hospital of Jinan University,Planning & Discipline Construction Office
[4] the First Affiliated Hospital of Jinan University,Clinical Neuroscience Institute
[5] Shanxi Provincial People’s Hospital,Department of Pathology
[6] the First Affiliated Hospital of Jinan University,Department of Urology
[7] the First Affiliated Hospital of Jinan University,Department of Neurology
[8] Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization,undefined
来源
关键词
Surveillance, Epidemiology, and End results (SEER); Big data; Epidemiology; Methodologies; Study design;
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摘要
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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