Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A COMPARISON OF KAPLAN-MEIER AND CUMULATIVE INCIDENCE ESTIMATE IN THE PRESENCE OR ABSENCE OF COMPETING RISKS IN BREAST CANCER DATA

Sherif, Bintu N. (2008) A COMPARISON OF KAPLAN-MEIER AND CUMULATIVE INCIDENCE ESTIMATE IN THE PRESENCE OR ABSENCE OF COMPETING RISKS IN BREAST CANCER DATA. Master's Thesis, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (454kB) | Preview

Abstract

Statistical techniques such as Kaplan-Meier estimate is commonly used and interpreted as the probability of failure in time-to-event data. When used on biomedical survival data, patients who fail from unrelated or other causes (competing events) are often treated as censored observations. This paper reviews and compares two methods of estimating cumulative probability of cause-specific events in the present of other competing events: 1 minus Kaplan-Meier and cumulative incidence estimators. A subset of a breast cancer data with three competing events: recurrence, second primary cancers, and death, was used to illustrate the different estimates given by 1 minus Kaplan-Meier and cumulative incidence function. Recurrence of breast cancer was the event of interest and second primary cancers and deaths were competing risks.The results indicate that the cumulative incidences gives an appropriate estimates and 1 minus Kaplan-Meier overestimates the cumulative probability of cause-specific failure in the presence of competing events. In absence of competing events, the 1 minus Kaplan-Meier approach yields identical estimates as the cumulative incidence function.The public health relevance of this paper is to help researchers understand that competing events affect the cumulative probability of cause-specific events. Researchers should use methods such as the cumulative incidence function to correctly estimate and compare the cause-specific cumulative probabilities.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Sherif, Bintu N.bnsst13@pitt.edu, bintu.sherif@gmail.comBNSST13
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairJeong, Jong-HyeonJeong@nsabp.pitt.eduJJEONG
Committee MemberLey, Christine Echrisley@pitt.eduCHRISLEY
Committee MemberWilson, John Wjww@pitt.eduJWW
Committee MemberArena, Vincent Carena@pitt.eduARENA
Date: 30 January 2008
Date Type: Completion
Defense Date: 14 December 2007
Approval Date: 30 January 2008
Submission Date: 3 December 2007
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Competing Risks; Cumulative Incidence; Kaplan-Meier
Other ID: http://etd.library.pitt.edu/ETD/available/etd-12032007-005529/, etd-12032007-005529
Date Deposited: 10 Nov 2011 20:07
Last Modified: 15 Nov 2016 13:52
URI: http://d-scholarship.pitt.edu/id/eprint/9986

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item