BC_ALD_contY_mixedX

<p>This data set contains summaries of simulated patient covariate and outcome values.
Corresponds to IPD data set.</p>

datasets

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

BC_ALD_contY_mixedX function


<div class="section" id="y-x-x-x-trt-trt-x-x-x-">
<h3><code>y ~ X1 + X3 + X4 + trt + trt:(X2 + X3 + X4)</code></h3><p></p><p>
<dl>
<dt>variable</dt>
<dd><p>String covariate or outcome name. From X1, X2, X3, X4, y.</p></dd></dl></p><p><dt>statistic</dt>
<dd><p>String summary statistic name. From mean, sd, prob, sum, N</p></dd></p><p><dt>value</dt>
<dd><p>Numeric value</p></dd></p><p><dt>trt</dt>
<dd><p>Treatment (arm) name. From B, C</p></dd></p><p>
</p><p></p></div>


Format

Aggregate level patient data for continuous outcome, mixed covariates — BC_ALD_contY_mixedX


<div class='section' id='y-x-x-x-trt-trt-x-x-x-'>
<h3><code>y ~ X1 + X3 + X4 + trt + trt:(X2 + X3 + X4)</code></h3>


<dl>
<dt>variable</dt>
<dd><p>String covariate or outcome name. From X1, X2, X3, X4, y.</p></dd>

<dt>statistic</dt>
<dd><p>String summary statistic name. From mean, sd, prob, sum, N</p></dd>

<dt>value</dt>
<dd><p>Numeric value</p></dd>

<dt>trt</dt>
<dd><p>Treatment (arm) name. From B, C</p></dd>


</dl>

</div>


BC_ALD_contY_mixedX: Aggregate level patient data for continuous outcome, mixed covariates

Description

Usage

Arguments

Format

`y ~ X1 + X3 + X4 + trt + trt:(X2 + X3 + X4)`

References