maic_weights

Matching-adjusted indirect comparison weights.
Method is taken from
Signorovitch2010outstandR.

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

maic_weights function

<dl><dt>X_EM</dt>
<dd>Centred \(S=1\) effect modifiers IPD covariates; matrix or data frame</dd></dl>

Arguments

Estimate MAIC weights — maic_weights

<dl>

<dt>X_EM</dt>
<dd>Centred \(S=1\) effect modifiers IPD covariates; matrix or data frame</dd>

</dl>

maic_weights: Estimate MAIC weights

Description

Usage

Value

Arguments

References