get_cox_risk_set_idx

This function returns the indices of the risk set for a given time of interest in the Cox proportional hazards model.

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

Dongming Huang

catalytic

Tools for Applying Catalytic Priors in Statistical Modeling

Yitong Wu

Weihao Li

Ministry of Education, Singapore 

get_cox_risk_set_idx function

<dl><dt>time_of_interest</dt>
<dd>A numeric value representing the time at which the risk set is calculated.</dd>
<dt>entry_vector</dt>
<dd>A numeric vector representing the entry times of subjects.</dd>
<dt>time_vector</dt>
<dd>A numeric vector representing the time-to-event or censoring times of subjects.</dd>
<dt>status_vector</dt>
<dd>A numeric vector indicating event occurrence (1) or censoring (0) for each subject.</dd></dl>

Arguments

Identify the risk set indices for Cox proportional hazards model — get_cox_risk_set_idx

<dl>

<dt>time_of_interest</dt>
<dd>A numeric value representing the time at which the risk set is calculated.</dd>


<dt>entry_vector</dt>
<dd>A numeric vector representing the entry times of subjects.</dd>


<dt>time_vector</dt>
<dd>A numeric vector representing the time-to-event or censoring times of subjects.</dd>


<dt>status_vector</dt>
<dd>A numeric vector indicating event occurrence (1) or censoring (0) for each subject.</dd>

</dl>

get_cox_risk_set_idx: Identify the risk set indices for Cox proportional hazards model

Description

Usage

Value

Arguments