Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons and patterns. This text describes the types of censoring, their implications, and the methods used to address them.
Types of Censoring
Several statistical techniques have been developed to handle censored data in survival analysis such as Kaplan-Meier Estimator, Cox Proportional Hazards Model, and Multiple Imputation.
Do Capítulo 15:
Now Playing
Survival Analysis
60 Visualizações
Survival Analysis
176 Visualizações
Survival Analysis
75 Visualizações
Survival Analysis
98 Visualizações
Survival Analysis
61 Visualizações
Survival Analysis
86 Visualizações
Survival Analysis
92 Visualizações
Survival Analysis
141 Visualizações
Survival Analysis
294 Visualizações
Survival Analysis
49 Visualizações
Survival Analysis
328 Visualizações
Survival Analysis
88 Visualizações
Survival Analysis
83 Visualizações
Survival Analysis
151 Visualizações
Survival Analysis
57 Visualizações
See More
Copyright © 2025 MyJoVE Corporation. Todos os direitos reservados