Analysis of breast cancer data using kaplan–meier survival analysis

Joint Authors

Dakhil, Nazirah Khalil
al-Dicimbirali, Yahya Mahdi
al-Abidy, Muna Abbas Msir

Source

Journal of Kufa for Mathematics and Computer

Issue

Vol. 1, Issue 6 (31 Dec. 2012), pp.7-14, 8 p.

Publisher

University of Kufa Faculty of Mathematics and Computers Science

Publication Date

2012-12-31

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Medicine
Information Technology and Computer Science

Topics

Abstract AR

مقدر كابلان-مير من المقدرات الشائعة جدا و الذي يزود تقديرات أفضل لحساب الوسيط لحجوم عينات كبيرة إلى حد معقول.

أن هدف هذا البحث هو بشكل رئيسي مهتم بدراسة و تحليل تقدير وقت البقاء للبيانات الحقيقية لمرضى سرطان الثدي في العراق.

Abstract EN

The Kaplan–Meier estimator is a very popular that provides better estimates to determine the median when the sample size is reasonably large.

The aim of this research was mainly concerned with a study and analysis an estimation of the survivorship time of real data of breast cancer patients in Iraq.

American Psychological Association (APA)

Dakhil, Nazirah Khalil& al-Dicimbirali, Yahya Mahdi& al-Abidy, Muna Abbas Msir. 2012. Analysis of breast cancer data using kaplan–meier survival analysis. Journal of Kufa for Mathematics and Computer،Vol. 1, no. 6, pp.7-14.
https://search.emarefa.net/detail/BIM-317884

Modern Language Association (MLA)

Dakhil, Nazirah Khalil…[et al.]. Analysis of breast cancer data using kaplan–meier survival analysis. Journal of Kufa for Mathematics and Computer Vol. 1, no. 6 (Dec. 2012), pp.7-14.
https://search.emarefa.net/detail/BIM-317884

American Medical Association (AMA)

Dakhil, Nazirah Khalil& al-Dicimbirali, Yahya Mahdi& al-Abidy, Muna Abbas Msir. Analysis of breast cancer data using kaplan–meier survival analysis. Journal of Kufa for Mathematics and Computer. 2012. Vol. 1, no. 6, pp.7-14.
https://search.emarefa.net/detail/BIM-317884

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 14

Record ID

BIM-317884