Survival analysis: Part I — analysis of time-to-event
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, l...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Anesthesiologists
2018-06-01
|
| Series: | Korean Journal of Anesthesiology |
| Subjects: | |
| Online Access: | http://ekja.org/upload/pdf/kja-d-18-00067.pdf |
| _version_ | 1818341102577516544 |
|---|---|
| author | Junyong In Dong Kyu Lee |
| author_facet | Junyong In Dong Kyu Lee |
| author_sort | Junyong In |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T15:53:27Z |
| format | Article |
| id | doaj.art-cc3680c7086a489ea5365d8ae9de2ea7 |
| institution | Directory Open Access Journal |
| issn | 2005-6419 2005-7563 |
| language | English |
| last_indexed | 2024-12-13T15:53:27Z |
| publishDate | 2018-06-01 |
| publisher | Korean Society of Anesthesiologists |
| record_format | Article |
| series | Korean Journal of Anesthesiology |
| spelling | doaj.art-cc3680c7086a489ea5365d8ae9de2ea72022-12-21T23:39:23ZengKorean Society of AnesthesiologistsKorean Journal of Anesthesiology2005-64192005-75632018-06-0171318219110.4097/kja.d.18.000678448Survival analysis: Part I — analysis of time-to-eventJunyong In0Dong Kyu Lee1 Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea Guro Hospital, Korea University School of Medicine, Seoul, KoreaLength 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.http://ekja.org/upload/pdf/kja-d-18-00067.pdfcensored datacox regressionhazard ratiokaplan-meier methodlog-rank testmedical statisticspower analysisproportional hazardssample sizesurvival analysis |
| spellingShingle | Junyong In Dong Kyu Lee Survival analysis: Part I — analysis of time-to-event Korean Journal of Anesthesiology censored data cox regression hazard ratio kaplan-meier method log-rank test medical statistics power analysis proportional hazards sample size survival analysis |
| title | Survival analysis: Part I — analysis of time-to-event |
| title_full | Survival analysis: Part I — analysis of time-to-event |
| title_fullStr | Survival analysis: Part I — analysis of time-to-event |
| title_full_unstemmed | Survival analysis: Part I — analysis of time-to-event |
| title_short | Survival analysis: Part I — analysis of time-to-event |
| title_sort | survival analysis part i analysis of time to event |
| topic | censored data cox regression hazard ratio kaplan-meier method log-rank test medical statistics power analysis proportional hazards sample size survival analysis |
| url | http://ekja.org/upload/pdf/kja-d-18-00067.pdf |
| work_keys_str_mv | AT junyongin survivalanalysispartianalysisoftimetoevent AT dongkyulee survivalanalysispartianalysisoftimetoevent |