This data is formatted to be used in <code>center_ipd()</code>.

dataset

Facilitates performing matching adjusted indirect comparison
(MAIC) analysis where the endpoint of interest is either time-to-event
(e.g. overall survival) or binary (e.g. objective tumor response). The method
is described by Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.

Isaac Gravestock

maicplus

Matching Adjusted Indirect Comparison

Gregory Chen

Michael Seo

Miranta Antoniou

Chrysostomos Kalyvas

MSD, Inc. 

F. Hoffmann-La Roche AG 

agd function

A data frame with 3 rows and 9 columns:<dl>
<dt>STUDY</dt>
<dd>The study name, Study_XXXX</dd><dt>ARM</dt>
<dd>Study arm name or total</dd><dt>N</dt>
<dd>Number of observations in study arm</dd><dt>AGE_MEAN</dt>
<dd>Mean age in study arm</dd><dt>AGE_MEDIAN</dt>
<dd>Median age in study arm</dd><dt>AGE_SD</dt>
<dd>Standard deviation of age in study arm</dd><dt>SEX_MALE_COUNT</dt>
<dd>Number of male patients</dd><dt>ECOG0_COUNT</dt>
<dd>Number of patients with ECOG score = 0</dd><dt>SMOKE_COUNT</dt>
<dd>Number of smokers</dd><dt>N_PR_THER_MEDIAN</dt>
<dd>Median number of prior therapies</dd>
</dl>

Format

Aggregate effect modifier data from published study — agd

A data frame with 3 rows and 9 columns:<dl>
<dt>STUDY</dt>
<dd>The study name, Study_XXXX</dd>

<dt>ARM</dt>
<dd>Study arm name or total</dd>

<dt>N</dt>
<dd>Number of observations in study arm</dd>

<dt>AGE_MEAN</dt>
<dd>Mean age in study arm</dd>

<dt>AGE_MEDIAN</dt>
<dd>Median age in study arm</dd>

<dt>AGE_SD</dt>
<dd>Standard deviation of age in study arm</dd>

<dt>SEX_MALE_COUNT</dt>
<dd>Number of male patients</dd>

<dt>ECOG0_COUNT</dt>
<dd>Number of patients with ECOG score = 0</dd>

<dt>SMOKE_COUNT</dt>
<dd>Number of smokers</dd>

<dt>N_PR_THER_MEDIAN</dt>
<dd>Median number of prior therapies</dd>


</dl>

agd: Aggregate effect modifier data from published study

Description

Usage

Arguments

Format

See Also