surv_left

Calculates the survival function of the left time interval for outcome k for quadrature node d.

Contains tests for association between a set of genetic variants and multiple correlated outcomes that are interval censored. Interval-censored data arises when the exact time of the onset of an outcome of interest is unknown but known to fall between two time points.

Jaihee Choi

SIMICO

Set-Based Inference for Multiple Interval-Censored Outcomes

Ryan Sun

surv_left function

<dl> <dt>l</dt>
<dd>Outcome of interest.</dd> <dt>d</dt>
<dd>Total number of Gaussian quadrature nodes.</dd> <dt>temp_beta</dt>
<dd>Vector of fitted coefficients.</dd> <dt>phen</dt>
<dd>List of data matrices containing both left and right information.</dd> <dt>r1</dt>
<dd>Gaussian quadrature nodes.</dd> <dt>k</dt>
<dd>Total number of outcomes.</dd></dl>

Arguments

S_ik(L_ik) — surv_left

<dl>

 <dt>l</dt>
<dd>Outcome of interest.</dd>

 <dt>d</dt>
<dd>Total number of Gaussian quadrature nodes.</dd>

 <dt>temp_beta</dt>
<dd>Vector of fitted coefficients.</dd>

 <dt>phen</dt>
<dd>List of data matrices containing both left and right information.</dd>

 <dt>r1</dt>
<dd>Gaussian quadrature nodes.</dd>

 <dt>k</dt>
<dd>Total number of outcomes.</dd>

</dl>

surv_left: S_ik(L_ik)

Description

Usage

Value

Arguments