G(t)=P(C&gt;t) denote the Kaplan-Meier estimate of the censoring distribution which is used to adjust for censoring.
Gt is used to calculate G(t) at any timepoint you want.

An implementation of popular evaluation metrics that are commonly used in survival prediction including Concordance Index, Brier Score, Integrated Brier Score,
Integrated Square Error, Integrated Absolute Error and Mean Absolute Error.
For a detailed information, see (Ishwaran H, Kogalur UB, Blackstone EH and Lauer MS (2008) <doi:10.1214/08-AOAS169>) ,
(Moradian H, Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>), (Hanpu Zhou, Hong Wang, Sizheng Wang and Yi Zou (2023) <doi:10.32614/rj-2023-009>) for different evaluation metrics.

Hong Wang

SurvMetrics

Predictive Evaluation Metrics in Survival Analysis

Hanpu Zhou

Xuewei Cheng

Sizheng Wang

Yi Zou

Gt function

<dl><dt>object</dt>
<dd>object of class <code>Surv</code> created by Surv function.</dd>
<dt>timepoint</dt>
<dd>any point in time you want to get the Kaplan–Meier estimate of the censoring.</dd></dl>

Arguments

Hanpu Zhou <a href="/link/zhouhanpu%40csu.edu.cn?package=SurvMetrics&version=0.5.1" data-mini-rdoc="SurvMetrics::zhouhanpu@csu.edu.cn">zhouhanpu@csu.edu.cn</a>

Author

Gt — Gt

<dl>

<dt>object</dt>
<dd>object of class <code>Surv</code> created by Surv function.</dd>


<dt>timepoint</dt>
<dd>any point in time you want to get the Kaplan–Meier estimate of the censoring.</dd>

</dl>

Hanpu Zhou <a href='mailto:zhouhanpu@csu.edu.cn'>zhouhanpu@csu.edu.cn</a>

Gt: Gt

Description

Usage

Value

Arguments

Author

References

Examples