hist_weights

Histograms of Weights and Rescaled Weights Distributions

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)

hist_weights function

<dl><dt>ipds_wts</dt>
<dd>A data frame containing individual patient data from the
intervention study, with a column containing the estimated weights
(derived using <code>estimate_weights</code>).</dd>
<dt>intervention.arm</dt>
<dd>The name of the grouping column in the data frame
specified by ipds, e.g., <code>intervention.arm = TRT</code>. The default is <code>TRT</code>.</dd>
<dt>wt.col</dt>
<dd>The name of the estimated weights column in the data frame
specified by ipds_wts. The default is <code>wt</code>.</dd>
<dt>rswt.col</dt>
<dd>The name of the estimated rescaled weights column in the
data frame specified by ipds_wts. The default is <code>wt_rs</code>.</dd>
<dt>bin</dt>
<dd>The number of bins or bars of the histogram.</dd>
<dt>xstepby</dt>
<dd>An integer guiding the breaks on the X-axis.</dd>
<dt>ystepby</dt>
<dd>An integer guiding the breaks on the Y-axis.</dd>
<dt>...</dt>
<dd>Refer to <a href="https://ggplot2.tidyverse.org/reference/geom_histogram.html">geom_histogram</a> for
additional parameters.</dd></dl>

Arguments

Histograms of Weights and Rescaled Weights Distributions — hist_weights

<dl>

<dt>ipds_wts</dt>
<dd>A data frame containing individual patient data from the
intervention study, with a column containing the estimated weights
(derived using <code>estimate_weights</code>).</dd>


<dt>intervention.arm</dt>
<dd>The name of the grouping column in the data frame
specified by ipds, e.g., <code>intervention.arm = TRT</code>. The default is <code>TRT</code>.</dd>


<dt>wt.col</dt>
<dd>The name of the estimated weights column in the data frame
specified by ipds_wts. The default is <code>wt</code>.</dd>


<dt>rswt.col</dt>
<dd>The name of the estimated rescaled weights column in the
data frame specified by ipds_wts. The default is <code>wt_rs</code>.</dd>


<dt>bin</dt>
<dd>The number of bins or bars of the histogram.</dd>


<dt>xstepby</dt>
<dd>An integer guiding the breaks on the X-axis.</dd>


<dt>ystepby</dt>
<dd>An integer guiding the breaks on the Y-axis.</dd>


<dt>...</dt>
<dd>Refer to <a href='https://ggplot2.tidyverse.org/reference/geom_histogram.html'>geom_histogram</a> for
additional parameters.</dd>

</dl>

hist_weights: Histograms of Weights and Rescaled Weights Distributions

Description

Value

Arguments

Examples