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Survival analysis: Part I - analysis of time-to-event
- In, Junyong;
- Lee, Dong Kyu
Citations
SCOPUS
56초록
Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death. This review introduces methods of analyzing time-to-event. The Kaplan-Meier survival analysis, log-rank test, and Cox proportional hazards regression modeling method are described with examples of hypothetical data.
키워드
Censored data; Cox regression; Hazard ratio; Kaplan-Meier method; Log-rank test; Medical statistics; Power analysis; Proportional hazards; Sample size; Survival analysis
- 제목
- Survival analysis: Part I - analysis of time-to-event
- 저자
- In, Junyong; Lee, Dong Kyu
- 발행일
- 2018-06
- 유형
- Correction
- 권
- 71
- 호
- 3
- 페이지
- 182 ~ 191
- 언어
- ENG
- 출판사
- 대한마취통증의학회
- 발행국가
- 대한민국
- 분량
- 10 페이지
- ISSN
- E 2005-7563
P 2005-6419