Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a survival tree begins with a dataset that includes covariates (predictor variables) and the survival time, along with a censoring indicator for each subject. The process involves the following steps:
Advantages and Disadvantages
Advantages:
Disadvantages:
Из главы 15:
Now Playing
Survival Analysis
16 Просмотры
Survival Analysis
65 Просмотры
Survival Analysis
31 Просмотры
Survival Analysis
29 Просмотры
Survival Analysis
25 Просмотры
Survival Analysis
34 Просмотры
Survival Analysis
27 Просмотры
Survival Analysis
39 Просмотры
Survival Analysis
123 Просмотры
Survival Analysis
20 Просмотры
Survival Analysis
202 Просмотры
Survival Analysis
36 Просмотры
Survival Analysis
35 Просмотры
Survival Analysis
63 Просмотры
Survival Analysis
21 Просмотры
See More
Авторские права © 2025 MyJoVE Corporation. Все права защищены