CheckInit

Performs estimation and inference on a partially missing target outcome while borrowing information from a correlated surrogate outcome to increase estimation precision and improve power. The target and surrogate outcomes are jointly modeled within a bivariate outcome regression framework. Unobserved values of either outcome are regarded as missing data. Estimation in the presence of bilateral outcome missingness is performed via an expectation conditional maximization algorithm. A flexible association test is provided for evaluating hypotheses about the target regression parameters. See McCaw ZR, Gaynor SM, Sun R, Lin X; “Cross-tissue eQTL mapping in the presence of missing data via surrogate outcome analysis” <doi:10.1101/2020.11.29.403063>.

Zachary McCaw

SurrogateRegression

Surrogate Outcome Regression Analysis

CheckInit function

<dl><dt>init</dt>
<dd>Optional list of initial parameters for fitting the null model.</dd></dl>

Arguments

Check Initiation — CheckInit

<dl>

<dt>init</dt>
<dd>Optional list of initial parameters for fitting the null model.</dd>

</dl>

CheckInit: Check Initiation

Description

Usage

Arguments