fIntegrateLiu

The integrand in the SKATO p-value when using Liu instead of Davies method, pass it to a numerical integration function like integrate().

Implements the Interval-Censored Sequence Kernel Association (ICSKAT) test for testing the association between interval-censored time-to-event outcomes and groups of single nucleotide polymorphisms (SNPs). Interval-censored time-to-event data occur when the event time is not known exactly but can be deduced to fall within a given interval. For example, some medical conditions like bone mineral density deficiency are generally only diagnosed at clinical visits. If a patient goes for clinical checkups yearly and is diagnosed at, say, age 30, then the onset of the deficiency is only known to fall between the date of their age 29 checkup and the date of the age 30 checkup. Interval-censored data include right- and left-censored data as special cases. This package also implements the interval-censored Burden test and the ICSKATO test, which is the optimal combination of the ICSKAT and Burden tests. Please see the vignette for a quickstart guide. The paper describing these methods is " Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes" by Sun R, Zhu L, Li Y, Yasui Y, & Robison L (Biometrics 2023, <doi:10.1111/biom.13636>).

Ryan Sun

ICSKAT

Interval-Censored Sequence Kernel Association Test

Liang Zhu

fIntegrateLiu function

<dl><dt>x</dt>
<dd>Variable to be integrated over, can be a vector or scalar.</dd>
<dt>muK1</dt>
<dd>Mean of the mixture of chi-squares that are the first part of the kappa variable.</dd>
<dt>sigmaK1</dt>
<dd>Standard deviation of the mixture of chi-squares that are the first part of the kappa variable.</dd>
<dt>QrhoDF</dt>
<dd>The data frame output from calling QrhoIC().</dd>
<dt>dfK1</dt>
<dd>The degrees of freedom from the approximated chi-square.</dd></dl>

Arguments

fIntegrateLiu.R — fIntegrateLiu

<dl>

<dt>x</dt>
<dd>Variable to be integrated over, can be a vector or scalar.</dd>


<dt>muK1</dt>
<dd>Mean of the mixture of chi-squares that are the first part of the kappa variable.</dd>


<dt>sigmaK1</dt>
<dd>Standard deviation of the mixture of chi-squares that are the first part of the kappa variable.</dd>


<dt>QrhoDF</dt>
<dd>The data frame output from calling QrhoIC().</dd>


<dt>dfK1</dt>
<dd>The degrees of freedom from the approximated chi-square.</dd>

</dl>

fIntegrateLiu: fIntegrateLiu.R

Description

Usage

Value

Arguments