data_times

data_times.inla

data_times.survHE

data_times.flexsurvreg

data_times.default

internal

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

data_times function

<dl><dt>S</dt>
<dd>vector of survival data</dd></dl>

Arguments

Get event time data — data_times

<dl>

<dt>S</dt>
<dd>vector of survival data</dd>

</dl>

Get event time data

data_times: Get event time data

Description

Usage

Value

Arguments