constructDataModel

Construct <code>DataModel</code> objects from approximate likelihood or profile likelihood data

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 

constructDataModel function

<dl><dt>data</dt>
<dd>The likelihood data. Can be a single approximation, approximations
from multiple sites, or (adaptive) grid profile likelihoods.</dd>
<dt>labelReferences</dt>
<dd>Optional parameter that provides a reference list that
maps string names to integer indices; only applies to
"grid" or "adaptive grip" type of data.</dd></dl>

Arguments

Construct DataModel objects from approximate likelihood or profile likelihood data — constructDataModel

<dl>

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


<dt>labelReferences</dt>
<dd>Optional parameter that provides a reference list that
maps string names to integer indices; only applies to
"grid" or "adaptive grip" type of data.</dd>

</dl>

constructDataModel: Construct `DataModel` objects from approximate likelihood or profile likelihood data

Description

Usage

Arguments

Examples