Longitudinal Outcomes Reporting Using the SEER Database (2024)

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    This Issue

    Guide to Statistics and Methods

    June2018

    Kemi M.Doll,MD, MSCR1,2; AlfredRademaker,PhD3; Julie A.Sosa,MD4,5,6,7

    Author Affiliations Article Information

    • 1Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Washington, Seattle

    • 2Seattle Cancer Care Alliance, Seattle, Washington

    • 3Department of Preventive Medicine, Northwestern University, Chicago, Illinois

    • 4Department of Surgery, Duke University Medical Center, Durham, North Carolina

    • 5Department of Medicine, Duke University Medical Center, Durham, North Carolina

    • 6Duke Cancer Institute, Durham, North Carolina

    • 7Duke Clinical Research Institute, Durham, North Carolina

    JAMA Surg. 2018;153(6):588-589. doi:10.1001/jamasurg.2018.0501

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    • Editorial A Checklist to Elevate the Science of Surgical Database Research

      Adil H.Haider,MD, MPH; Karl Y.Bilimoria,MD, MS; Melina R.Kibbe,MD

      JAMA Surgery

    • Editorial Tips for Analyzing Large Data Sets From the JAMA Surgery Statistical Editors

      Amy H.Kaji,MD, PhD; Alfred W.Rademaker,PhD; TerryHyslop,PhD

      JAMA Surgery

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    The Surveillance, Epidemiology, and End Results (SEER) database is a publicly available, federally funded cancer reporting system that represents a collaboration between the US Centers for Disease Control and Prevention, the National Cancer Institute, and regional and state cancer registries.1 SEER data are national, with information from 18 states that represent all regions of the country. In contrast to other commonly used data sets (eg, the National Cancer Data Base), SEER is population-based, because local registries report information for all cancer cases within a specific region and/or defined racial/ethnic population. Given that SEER data is both a cancer reporting system and a research tool, we aim to present salient aspects of these data, strengths and limitations for analyses, and important statistical considerations.

    • Editorial A Checklist to Elevate the Science of Surgical Database Research

      JAMA Surgery

    • Editorial Tips for Analyzing Large Data Sets From the JAMA Surgery Statistical Editors

      JAMA Surgery

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    Oncology Research, Methods, Statistics Surgery Surgical Oncology Cancer Epidemiology Guide to Statistics and Methods JAMA Surgery Guide to Statistics and Methods

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    Doll KM, Rademaker A, Sosa JA. Practical Guide to Surgical Data Sets: Surveillance, Epidemiology, and End Results (SEER) Database. JAMA Surg. 2018;153(6):588–589. doi:10.1001/jamasurg.2018.0501

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        Longitudinal Outcomes Reporting Using the SEER Database (2024)

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