createApproximations

Create likelihood approximations from individual-trajectory 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 

createApproximations function

<dl><dt>populations</dt>
<dd>Individual-level population data</dd>
<dt>approximation</dt>
<dd>Type of approximation method</dd></dl>

Arguments

Create likelihood approximations from individual-trajectory data — createApproximations

<dl>

<dt>populations</dt>
<dd>Individual-level population data</dd>


<dt>approximation</dt>
<dd>Type of approximation method</dd>

</dl>

createApproximations: Create likelihood approximations from individual-trajectory data

Description

Usage

Arguments