Survival analysis: Part I — analysis of time-to-event / 대한마취과학회지
Korean Journal of Anesthesiology
; : 182-191, 2018.
Article
de En
| WPRIM
| ID: wpr-715218
Bibliothèque responsable:
WPRO
ABSTRACT
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.
Mots clés
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Analyse de survie
/
Statistiques comme sujet
/
Taille de l'échantillon
/
Méthodes
Type d'étude:
Prognostic_studies
langue:
En
Texte intégral:
Korean Journal of Anesthesiology
Année:
2018
Type:
Article