weightplot

Plots the weights for the blending procedure

Create a blended curve from two survival curves, which is particularly useful
for survival extrapolation in health technology assessment. The main idea is to
mix a flexible model that fits the observed data well with a parametric model that
encodes assumptions about long-term survival. The two curves are blended into a
single survival curve that is identical to the first model over the range of
observed times and gradually approaches the parametric model over the extrapolation
period based on a given weight function. This approach allows for the inclusion of
external information, such as data from registries or expert opinion, to guide
long-term extrapolations, especially when dealing with immature trial data.
See Che et al. (2022) <doi:10.1177/0272989X221134545>.

Zhaojing Che

blendR

Blended Survival Curves

Nathan Green

weightplot function

<dl><dt>x</dt>
<dd>A blended survival curve object obtained from <code>blendsurv()</code></dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Plots the weights for the blending procedure — weightplot

<dl>

<dt>x</dt>
<dd>A blended survival curve object obtained from <code>blendsurv()</code></dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

weightplot: Plots the weights for the blending procedure

Description

Usage

Value

Arguments

See Also