IDEAS home Printed from https://ideas.repec.org/a/eas/econst/v3y2016i3p13-22.html
   My bibliography  Save this article

Lung Cancer Study with Tobit Regression Analysis: Sivas Case

Author

Listed:
  • Åžebnem ZORLUTUNA

    (Cumhuriyet Ãœniversitesi)

  • Necati Alp ERÄ°LLÄ°

    (Cumhuriyet Ãœniversitesi)

  • Birsen YÃœCEL

    (Cumhuriyet Ãœniversitesi)

Abstract

: Tobit regression models are the limited dependent variable models in a statement which is widely used and is defined as a non-parametric alternative for the method of least squares regression. Model is known as knowledge of the dependent variable models for some samples containing censored observations. Some experimental process, cannot be achieved for all values of the dependent variable. Dependent variables for these models are called limited dependent variable which value limited by ordered models. In this study Tobit model is used for the analysis, which widely used in the statement in limited dependent variable models. Data taken from Sivas Cumhuriyet University Faculty of Medicine Research and Application Hospital Oncology Center, consists 535 patients who have lung cancer. Tobit regression analysis was applied in the measurement of lung cancer patients (the lifetime) was tried to measure the effect of certain arguments. Using right and left censored models, cancers that are thought to trigger the patient's age, stage of disease, determining the variables affecting the disease status variables , data infrastructure has been created for the disease. Tobit regression results when the dependent variable phase of the patient's disease, the patient's gender, patient's condition , the pathological consequences of the disease was found to be statistically significant variables. The sex of the patient, while a positive effect on the stage of disease, condition and pathological condition of the patients were found to negative influences.

Suggested Citation

  • Åžebnem ZORLUTUNA & Necati Alp ERÄ°LLÄ° & Birsen YÃœCEL, 2016. "Lung Cancer Study with Tobit Regression Analysis: Sivas Case," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 3(3), pages 13-22, February.
  • Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:13-22
    DOI: 10.17740/eas.stat.2016�V3�02
    as

    Download full text from publisher

    File URL: https://eurasianacademy.org/index.php/econstat/article/view/917
    Download Restriction: no

    File URL: https://libkey.io/10.17740/eas.stat.2016�V3�02?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:3:y:2016:i:3:p:13-22. 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.