calculate_ate

Computes the average treatment effect (ATE) based on the specified effect scale.

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

calculate_ate function

<dl><dt>mean_comp, mean_ref</dt>
<dd>Mean of the outcome for the comparator and reference / common</dd>
<dt>effect</dt>
<dd>A character string specifying the effect scale. Options are:<dl>
<dt>"log_odds"</dt>
<dd>Log-odds difference.</dd></dl></dd><dt>"risk_difference"</dt>
<dd>Risk difference.</dd><dt>"delta_z"</dt>
<dd>Probit scale difference (z-scores).</dd><dt>"log_relative_risk_rare_events"</dt>
<dd>Log relative risk for rare events.</dd><dt>"log_relative_risk"</dt>
<dd>Log relative risk.</dd>
</dl>

Arguments

Calculate Average Treatment Effect — calculate_ate

<dl>

<dt>mean_comp, mean_ref</dt>
<dd>Mean of the outcome for the comparator and reference / common</dd>


<dt>effect</dt>
<dd>A character string specifying the effect scale. Options are:<dl>
<dt>"log_odds"</dt>
<dd>Log-odds difference.</dd>

<dt>"risk_difference"</dt>
<dd>Risk difference.</dd>

<dt>"delta_z"</dt>
<dd>Probit scale difference (z-scores).</dd>

<dt>"log_relative_risk_rare_events"</dt>
<dd>Log relative risk for rare events.</dd>

<dt>"log_relative_risk"</dt>
<dd>Log relative risk.</dd>


</dl></dd>

</dl>

calculate_ate: Calculate Average Treatment Effect

Description

Usage

Value

Arguments

Examples