buildLabelReferences

Build a list of references that map likelihood names to integer labels for later use

Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data.
Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.

Martijn Schuemie

EvidenceSynthesis

Synthesizing Causal Evidence in a Distributed Research Network

Marc A. Suchard

Fan Bu

Observational Health Data Science and Informatics 

buildLabelReferences function

<dl><dt>data</dt>
<dd>The likelihood data. Can be a single approximation, approximations
from multiple sites, or (adaptive) grid profile likelihoods.</dd></dl>

Arguments

Build a list of references that map likelihood names to integer labels for later use — buildLabelReferences

<dl>

<dt>data</dt>
<dd>The likelihood data. Can be a single approximation, approximations
from multiple sites, or (adaptive) grid profile likelihoods.</dd>

</dl>

buildLabelReferences: Build a list of references that map likelihood names to integer labels for later use

Description

Usage

Arguments

Examples