rwe_cut

Cut a sequence of numbers into bins.
The cut points are chosen such that there will be equal numbers in each bin
for <code>x</code>. By default, values of <code>y</code> that are outside the range of
<code>x</code> will be excluded from the bins, unless they are in the
<code>keep_inx</code>.

High-quality real-world data can be transformed into scientific
real-world evidence for regulatory and healthcare decision-making
using proven analytical methods and techniques. For example, propensity
score (PS) methodology can be applied to select a subset of real-world
data containing patients that are similar to those in the current clinical
study in terms of baseline covariates, and to stratify the selected
patients together with those in the current study into more homogeneous
strata. Then, statistical methods such as the power prior approach or
composite likelihood approach can be applied in each stratum to draw
inference for the parameters of interest. This package provides
functions that implement the PS-integrated real-world
evidence analysis methods such as
Wang et al. (2019) <doi:10.1080/10543406.2019.1657133>,
Wang et al. (2020) <doi:10.1080/10543406.2019.1684309>, and
Chen et al. (2020) <doi:10.1080/10543406.2020.1730877>.

Wei-Chen Chen

psrwe

PS-Integrated Methods for Incorporating Real-World Evidence in
Clinical Studies

Chenguang Wang

Trustees of Columbia University 

rwe_cut function

<dl><dt>x</dt>
<dd>Vector of values based on which cut points will be determined</dd>
<dt>y</dt>
<dd>Vector of values to be cut, default to be the same as <code>x</code></dd>
<dt>breaks</dt>
<dd>Number of cut points</dd>
<dt>keep_inx</dt>
<dd>Indices of y that will be categorized as 1 or the largest bin
even if their values are out of range of x, i.e. the y's that will not be
trimmed</dd>
<dt>trim_ab</dt>
<dd>Trim external subjects who are above or below the
range of current study. Default <code>both</code> trims both above and below.
Other options include <code>above</code> for above only, <code>below</code> for
below only, and <code>none</code> for no trimming.</dd></dl>

Arguments

Create strata — rwe_cut

<dl>

<dt>x</dt>
<dd>Vector of values based on which cut points will be determined</dd>


<dt>y</dt>
<dd>Vector of values to be cut, default to be the same as <code>x</code></dd>


<dt>breaks</dt>
<dd>Number of cut points</dd>


<dt>keep_inx</dt>
<dd>Indices of y that will be categorized as 1 or the largest bin
even if their values are out of range of x, i.e. the y's that will not be
trimmed</dd>


<dt>trim_ab</dt>
<dd>Trim external subjects who are above or below the
range of current study. Default <code>both</code> trims both above and below.
Other options include <code>above</code> for above only, <code>below</code> for
below only, and <code>none</code> for no trimming.</dd>

</dl>

rwe_cut: Create strata

Description

Usage

Value

Arguments

Examples