get_treatment_effect

Maps a given link function to its corresponding treatment 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

get_treatment_effect function

<dl><dt>link</dt>
<dd>A character string specifying the link function. Options are:<dl>
<dt>"logit"</dt>
<dd>Log-odds scale.</dd></dl></dd><dt>"identity"</dt>
<dd>Risk difference.</dd><dt>"probit"</dt>
<dd>Probit scale.</dd><dt>"cloglog"</dt>
<dd>Log relative risk for rare events.</dd><dt>"log"</dt>
<dd>Log relative risk.</dd>
</dl>

Arguments

Get treatment effect scale corresponding to a link function — get_treatment_effect

<dl>

<dt>link</dt>
<dd>A character string specifying the link function. Options are:<dl>
<dt>"logit"</dt>
<dd>Log-odds scale.</dd>

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

<dt>"probit"</dt>
<dd>Probit scale.</dd>

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

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


</dl></dd>

</dl>

get_treatment_effect: Get treatment effect scale corresponding to a link function

Description

Usage

Value

Arguments

Examples