AgD_bl

An example data frame containing aggregate summary data from the comparator study.

A generalised workflow for Matching-Adjusted Indirect
Comparison (MAIC) analysis, which supports both anchored and
non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison
is achieved by weighting the subject-level outcomes of the
intervention trial so that the weighted aggregate measures of
prognostic or effect-modifying variables match those of the comparator
trial. Measurements supported include time-to-event (e.g., overall
survival) and binary (e.g., objective tumor response). The method is
described in Signorovitch et al. (2010)
<doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012)
<doi:10.1016/j.jval.2012.05.004>.

Xiao Qi

MAICtools

Performing Matched-Adjusted Indirect Comparisons (MAIC)

AgD_bl function

A data frame with X rows and Y variables:<dl>
 <dt>STUDY</dt>
<dd>Label of the comparator study, e.g., "Study XX-1".</dd> <dt>TRT</dt>
<dd>Grouping variable, e.g., "active" or "control".</dd> <dt>N</dt>
<dd>Number of subjects in each group.</dd> <dt>AGEGR</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>SEX</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>ECOG</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>SMK</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>METBRAIN</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>METLIVER</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>BMI.mean</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>BMI.sd</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>DIAG.mean</dt>
<dd>Baseline characteristics variables for matching.</dd> <dt>DIAG.sd</dt>
<dd>Baseline characteristics variables for matching.</dd> 
</dl>

Format

Description of AgD_bl dataset — AgD_bl

A data frame with X rows and Y variables:<dl>
 <dt>STUDY</dt>
<dd>Label of the comparator study, e.g., "Study XX-1".</dd>

 <dt>TRT</dt>
<dd>Grouping variable, e.g., "active" or "control".</dd>

 <dt>N</dt>
<dd>Number of subjects in each group.</dd>

 <dt>AGEGR</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>SEX</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>ECOG</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>SMK</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>METBRAIN</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>METLIVER</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>BMI.mean</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>BMI.sd</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>DIAG.mean</dt>
<dd>Baseline characteristics variables for matching.</dd>

 <dt>DIAG.sd</dt>
<dd>Baseline characteristics variables for matching.</dd>

 
</dl>

AgD_bl: Description of AgD_bl dataset

Description

Usage

Arguments

Format

Examples