SDGM1

Survival data generation method. An example of the proportional hazards model where in the Cox model is expected to perform best.

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

SDGM1 function

<dl><dt>N</dt>
<dd>The sample size of the simulated dataset.</dd>
<dt>p</dt>
<dd>The covariate dimension of the simulated dataset.</dd>
<dt>c_mean</dt>
<dd>The parameter which is used to control the censoring rate.</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

SDGM1 — SDGM1

<dl>

<dt>N</dt>
<dd>The sample size of the simulated dataset.</dd>


<dt>p</dt>
<dd>The covariate dimension of the simulated dataset.</dd>


<dt>c_mean</dt>
<dd>The parameter which is used to control the censoring rate.</dd>

</dl>

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

SDGM1: SDGM1

Description

Usage

Value

Arguments

Author

References

Examples