gamma_on

Calculates the [on-diagonal] Information matrix term for I_gamma gamma with respect to outcome l.

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

gamma_on function

<dl> <dt>l</dt>
<dd>Index of first outcome of interest.</dd> <dt>HL_array</dt>
<dd>n x k matrix containing all the hazard values for the left times.</dd> <dt>HR_array</dt>
<dd>n x k matrix containing all the hazard values for the right times.</dd> <dt>tpos_all</dt>
<dd>n x k matrix containing a indictor for whether that time is left-censored or not.</dd> <dt>obs_all</dt>
<dd>n x k matrix containing a indictor for whether that time is right-censored or not.</dd> <dt>temp_beta</dt>
<dd>Vector of fitted coefficients.</dd> <dt>A_i</dt>
<dd>Product of apply_diffs across all outcomes k summed over all quadrature nodes d.</dd> <dt>no_l_all</dt>
<dd>n x (k - 1) matrix containing the product of apply_diffs across all outcomes k excluding the current outcome l.</dd> <dt>gMat</dt>
<dd>n x q matrix of genetic information.</dd> <dt>a1</dt>
<dd>First shape parameter of beta parameter.</dd> <dt>a2</dt>
<dd>Second shape parameter of beta parameter.</dd> <dt>d</dt>
<dd>Number of quadrature nodes.</dd></dl>

Arguments

d^2/d_gamma_ldgamma_l — gamma_on

<dl>

 <dt>l</dt>
<dd>Index of first outcome of interest.</dd>

 <dt>HL_array</dt>
<dd>n x k matrix containing all the hazard values for the left times.</dd>

 <dt>HR_array</dt>
<dd>n x k matrix containing all the hazard values for the right times.</dd>

 <dt>tpos_all</dt>
<dd>n x k matrix containing a indictor for whether that time is left-censored or not.</dd>

 <dt>obs_all</dt>
<dd>n x k matrix containing a indictor for whether that time is right-censored or not.</dd>

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

 <dt>A_i</dt>
<dd>Product of apply_diffs across all outcomes k summed over all quadrature nodes d.</dd>

 <dt>no_l_all</dt>
<dd>n x (k - 1) matrix containing the product of apply_diffs across all outcomes k excluding the current outcome l.</dd>

 <dt>gMat</dt>
<dd>n x q matrix of genetic information.</dd>

 <dt>a1</dt>
<dd>First shape parameter of beta parameter.</dd>

 <dt>a2</dt>
<dd>Second shape parameter of beta parameter.</dd>

 <dt>d</dt>
<dd>Number of quadrature nodes.</dd>

</dl>

gamma_on: d^2/d_gamma_ldgamma_l

Description

Usage

Value

Arguments