IDEAS home Printed from https://ideas.repec.org/a/eas/econst/v18y2021i18p33-43.html
   My bibliography  Save this article

Investigation Of The Factors Affecting Lung Cancer With Cox Regression Analysis: Sivas City Case

Author

Listed:
  • Åžebnem ZORLUTUNA

    (Sivas Cumhuriyet Ãœniversitesi)

  • Ziya Gökalp GÖKTOLGA

    (Sivas Cumhuriyet Ãœniversitesi)

Abstract

According to the data from World Cancer Research Fund (WCRF), the most common cancer type in the world was lung cancer in 2018. Worldwide, 2 million 93 thousand people have been diagnosed with lung cancer. Lung cancer, with the highest mortality rate, ranks first among the other cancer types. However, early diagnosis and knowing the factors affecting treatment generally increases the chance of successfully treating of the disease. In this study, the survival rates and factors affecting average survival times is determined by applying survival analysis to the data obtained from 570 lung cancer patients observed by the Oncology Center of Sivas Cumhuriyet University Medical Faculty Research and Application Hospital. The 1, 5 and 10-year survival rates are found as 55%, 9% and 2%, respectively. The factors affecting survival rate were determined as the patient's age, pathology and stage of the disease.

Suggested Citation

  • Åžebnem ZORLUTUNA & Ziya Gökalp GÖKTOLGA, 2021. "Investigation Of The Factors Affecting Lung Cancer With Cox Regression Analysis: Sivas City Case," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 18(18), pages 33-43, February.
  • Handle: RePEc:eas:econst:v:18:y:2021:i:18:p:33-43
    DOI: 10.17740/eas.stat.2021�V18�03
    as

    Download full text from publisher

    File URL: https://eurasianacademy.org/index.php/econstat/article/view/1019
    Download Restriction: no

    File URL: https://libkey.io/10.17740/eas.stat.2021�V18�03?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eas:econst:v:18:y:2021:i:18:p:33-43. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kutluk Kagan Sumer (email available below). General contact details of provider: https://www.eurasianacademy.org/index.php/econstat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.