psrwe_borrow

Based on PS distances or number of current control subjects, split the total
number of subjects to be borrowed from the external data source for each
stratum

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 

psrwe_borrow function

<dl><dt>dtaps</dt>
<dd>A class <code>PSRWE_DTA</code> or <code>PSRWE_DTA_MAT</code> object.</dd>
<dt>total_borrow</dt>
<dd>Total number of subjects to be borrowed</dd>
<dt>method</dt>
<dd>Method to split <code>total_borrow</code> for a class
<code>PSRWE_DTA</code> object, which can be based on distance (<code>method =
"distance"</code>) or inverse distance (<code>method = "inverse_distance"</code>).
Other possible options include <code>"n_current"</code> and <code>"n_external"</code>
that use the proportion of stratum sample size based on the current and
external data, respectively.
Ignored for class <code>PSRWE_DTA_MAT</code> object.</dd>
<dt>.drop_arg_fml</dt>
<dd>internal use to drop arguments and call, this is
only used in cjk.</dd>
<dt>...</dt>
<dd>Additional parameters for <code>summary.PSRWE_DTA</code>.</dd></dl>

Arguments

Get number of subjects borrowed from each statum — psrwe_borrow

<dl>

<dt>dtaps</dt>
<dd>A class <code>PSRWE_DTA</code> or <code>PSRWE_DTA_MAT</code> object.</dd>


<dt>total_borrow</dt>
<dd>Total number of subjects to be borrowed</dd>


<dt>method</dt>
<dd>Method to split <code>total_borrow</code> for a class
<code>PSRWE_DTA</code> object, which can be based on distance (<code>method =
"distance"</code>) or inverse distance (<code>method = "inverse_distance"</code>).
Other possible options include <code>"n_current"</code> and <code>"n_external"</code>
that use the proportion of stratum sample size based on the current and
external data, respectively.
Ignored for class <code>PSRWE_DTA_MAT</code> object.</dd>


<dt>.drop_arg_fml</dt>
<dd>internal use to drop arguments and call, this is
only used in cjk.</dd>


<dt>...</dt>
<dd>Additional parameters for <code>summary.PSRWE_DTA</code>.</dd>

</dl>

psrwe_borrow: Get number of subjects borrowed from each statum

Description

Usage

Value

Arguments

Examples