validate_outstandr

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

validate_outstandr function

<dl><dt>ipd_trial</dt>
<dd>Individual patient data</dd>
<dt>ald_trial</dt>
<dd>Aggregate level data</dd>
<dt>strategy</dt>
<dd>An object of class <code>strategy</code> created by functions such as
<code>strategy_maic()</code>, <code>strategy_stc()</code>, or <code>strategy_mim()</code>.
Contains modelling details like the formula and family.</dd>
<dt>CI</dt>
<dd>Confidence interval</dd>
<dt>scale</dt>
<dd>Outcome scale</dd></dl>

Arguments

Input data validator — validate_outstandr

<dl>

<dt>ipd_trial</dt>
<dd>Individual patient data</dd>


<dt>ald_trial</dt>
<dd>Aggregate level data</dd>


<dt>strategy</dt>
<dd>An object of class <code>strategy</code> created by functions such as
<code>strategy_maic()</code>, <code>strategy_stc()</code>, or <code>strategy_mim()</code>.
Contains modelling details like the formula and family.</dd>


<dt>CI</dt>
<dd>Confidence interval</dd>


<dt>scale</dt>
<dd>Outcome scale</dd>

</dl>

validate_outstandr: Input data validator

Description

Usage

Value

Arguments