Survival analysis includes a wide variety of methods for analyzing time‐to‐event data. One basic but important goal in survival analysis is the comparison of survival curves between groups. Several nonparametric methods have been proposed in the literature to test for the equality of survival curves for censored data. When the null hypothesis of equality of curves is rejected, leading to the clear conclusion that at least one curve is different, it can be interesting to ascertain whether curves can be grouped or if all these curves are different from each other. A method is proposed that allows determining groups with an automatic selection of their number. The validity and behavior of the proposed method was evaluated through simulation st...
Many model selection processes involve minimizing a loss function of the data over a set of models. ...
This thesis presents a new model and method of analysis for survival time data which can be right an...
Demonstration of survival curves in comparing survival between different nodes (a) and subgroups wit...
Survival analysis includes a wide variety of methods for analyzing time-to-event data. One basic but...
Hazard ratios are ubiquitously used in time to event analysis to quantify treatment effects. Althoug...
Traditional survival analysis methods are primarily those of Kaplan-Meier curves, the log-rank test ...
This paper looks at permutation methods used to deal with hypothesis testing within the survival ana...
Background and objective: In survival analysis, estimating the survival probability of a population ...
In the present thesis I introduce and evaluate a new machine learning method for estimating survival...
We developed a model that performs unsupervised clustering of survival times in a jointsurvival-lon...
The question of how to compare survival between two or more groups is considered mainly with a view ...
Survival analysis is analyzing data to observe the time until the occurrence of a certain event. Fo...
Objectives. 1. Identify the most appropriate test to be used when the equality of survival curves is...
<p>(A) For all stages, **P = 0,004; (B) for stage IV, *P = 0,015; (C) for stage I, *P = 0,019 and (D...
One of the most popular uses for tree-based methods is in survival analysis for censored time data w...
Many model selection processes involve minimizing a loss function of the data over a set of models. ...
This thesis presents a new model and method of analysis for survival time data which can be right an...
Demonstration of survival curves in comparing survival between different nodes (a) and subgroups wit...
Survival analysis includes a wide variety of methods for analyzing time-to-event data. One basic but...
Hazard ratios are ubiquitously used in time to event analysis to quantify treatment effects. Althoug...
Traditional survival analysis methods are primarily those of Kaplan-Meier curves, the log-rank test ...
This paper looks at permutation methods used to deal with hypothesis testing within the survival ana...
Background and objective: In survival analysis, estimating the survival probability of a population ...
In the present thesis I introduce and evaluate a new machine learning method for estimating survival...
We developed a model that performs unsupervised clustering of survival times in a jointsurvival-lon...
The question of how to compare survival between two or more groups is considered mainly with a view ...
Survival analysis is analyzing data to observe the time until the occurrence of a certain event. Fo...
Objectives. 1. Identify the most appropriate test to be used when the equality of survival curves is...
<p>(A) For all stages, **P = 0,004; (B) for stage IV, *P = 0,015; (C) for stage I, *P = 0,019 and (D...
One of the most popular uses for tree-based methods is in survival analysis for censored time data w...
Many model selection processes involve minimizing a loss function of the data over a set of models. ...
This thesis presents a new model and method of analysis for survival time data which can be right an...
Demonstration of survival curves in comparing survival between different nodes (a) and subgroups wit...