result_stats

Combining output from aggregate level data studies BC and
adjusted individual level data studies AC into a single object.

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

result_stats function

<dl><dt>ipd_stats, ald_stats</dt>
<dd></dd>
<dt>CI</dt>
<dd>Confidence interval level, i.e. 1-alpha; default 0.95</dd></dl>

Arguments

Calculate and arrange result statistics — result_stats

<dl>

<dt>ipd_stats, ald_stats</dt>
<dd></dd>


<dt>CI</dt>
<dd>Confidence interval level, i.e. 1-alpha; default 0.95</dd>

</dl>

result_stats: Calculate and arrange result statistics

Description

Usage

Value

Arguments