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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.6
- 수록면
- 130 - 142 (13page)
- DOI
- 10.33162/JAR.2018.06.18.2.130
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초록· 키워드
오류제보하기
Purpose: The purpose of this study is to introduce regression method in the presence of competing risks and to show how you can use the method with hypothetical data.
Methods: Survival analysis has been widely used in biostatistics division. But the same method has not been utilized in reliability division. Especially competing risks, where more than a couple of causes of failure occur and the occurrence of one event precludes the occurrence of the other events, are scattered in reliability field. But they are not utilized in the area of reliability or they are analysed in the wrong way. Specifically Kaplan-Meier method is used to calculate the probability of failure in the presence of competing risks, thereby overestimating the real probability of failure. Hence, cumulative incidence function is introduced. In addition, sample competing risks data are analysed using cumulative incidence function along with some graphs. Lastly we compare cumulative incidence functions with regression type analysis briefly.
Results: We used cumulative incidence function to calculate the survival probability or failure probability in the presence of competing risks. We also drew some useful graphs depicting the failure trend over the lifetime.
Conclusion: This research shows that Kaplan-Meier method is not appropriate for the evaluation of survival or failure over the course of lifetime in the presence of competing risks. Cumulative incidence function is shown to be useful in stead. Some graphs using the cumulative incidence functions are also shown to be informative.
Methods: Survival analysis has been widely used in biostatistics division. But the same method has not been utilized in reliability division. Especially competing risks, where more than a couple of causes of failure occur and the occurrence of one event precludes the occurrence of the other events, are scattered in reliability field. But they are not utilized in the area of reliability or they are analysed in the wrong way. Specifically Kaplan-Meier method is used to calculate the probability of failure in the presence of competing risks, thereby overestimating the real probability of failure. Hence, cumulative incidence function is introduced. In addition, sample competing risks data are analysed using cumulative incidence function along with some graphs. Lastly we compare cumulative incidence functions with regression type analysis briefly.
Results: We used cumulative incidence function to calculate the survival probability or failure probability in the presence of competing risks. We also drew some useful graphs depicting the failure trend over the lifetime.
Conclusion: This research shows that Kaplan-Meier method is not appropriate for the evaluation of survival or failure over the course of lifetime in the presence of competing risks. Cumulative incidence function is shown to be useful in stead. Some graphs using the cumulative incidence functions are also shown to be informative.
목차
1. 서론
2. Kaplan-Meier 방법의 문제점과 CIF의 소개
3. 경쟁적 위험하에서의 회귀분석
4. R을 활용한 통계적 추론
5. 결론 및 논의
References
참고문헌 (20)
참고문헌 신청
[단행본] - Kalbfleisch, J. D. / 2002 / The statistical analysis of failure time data / John Wiley & Sons
[단행본] - Klein, J. P. / 2003 / Survival analysis. techniques for censored and truncated data / Springer
[학술지(정기간행물)] - Kaplan, E. / 1958 / Nonparametric estimation from incomplete observations / Journal of the American Statistical Association 53 : 457 ~ 481
[인터넷자원] - Porta, N. / 2008 / The Role of survival functions in competing risks
[학술지(정기간행물)] - Putter, H. / 2006 / Tutorial in Biostatistics: Competing risks and multi-state events / Statistics in Medicine 26 : 2389 ~ 2430
[단행본] - Klein, J. P. / 2003 / Survival analysis. techniques for censored and truncated data / Springer
[학술지(정기간행물)] - Kaplan, E. / 1958 / Nonparametric estimation from incomplete observations / Journal of the American Statistical Association 53 : 457 ~ 481
[인터넷자원] - Porta, N. / 2008 / The Role of survival functions in competing risks
[학술지(정기간행물)] - Putter, H. / 2006 / Tutorial in Biostatistics: Competing risks and multi-state events / Statistics in Medicine 26 : 2389 ~ 2430
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UCI(KEPA) : I410-ECN-0101-2018-323-003118522