prep_ald

internal

For the problem of indirect treatment comparison with limited subject-level data, this
package provides tools for model-based standardisation with several different computation approaches.
See Remiro‐Azócar A, Heath A, Baio G (2022) "Parametric G‐computation for compatible
indirect treatment comparisons with limited individual patient data",
Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.

Nathan Green

outstandR

Model-Based Standardisation for Indirect Treatment Comparison
with Limited Subject-Level Data

Chengyang Gao

Antonio Remiro-Azocar

prep_ald function

<dl><dt>form</dt>
<dd>Formula</dd>
<dt>data</dt>
<dd>A dataframe of aggregate level data</dd>
<dt>trt_var</dt>
<dd>Treatment variable name</dd></dl>

Arguments

Prepare Aggregate Level Data — prep_ald

<dl>

<dt>form</dt>
<dd>Formula</dd>


<dt>data</dt>
<dd>A dataframe of aggregate level data</dd>


<dt>trt_var</dt>
<dd>Treatment variable name</dd>

</dl>

prep_ald: Prepare Aggregate Level Data

Description

Usage

Value

Arguments