.smooth_survival

Allows Bayesian borrowing from a historical dataset for time-to-
event data. A flexible baseline hazard function is achieved via a piecewise
exponential likelihood with time varying split points and smoothing prior on the
historic baseline hazards. The method is described in Scott and Lewin (2024)
<doi:10.48550/arXiv.2401.06082>, and the software paper is in Axillus et al.
(2024) <doi:10.48550/arXiv.2408.04327>.

Darren Scott

BayesFBHborrow

Bayesian Dynamic Borrowing with Flexible Baseline Hazard
Function

Sophia Axillus

.smooth_survival function

<dl><dt>grid_width</dt>
<dd>step size</dd>
<dt>out_slam</dt>
<dd>samples from GibbsMH of the baseline hazard</dd>
<dt>beta_samples</dt>
<dd>samples from GibbsMH from the treatment effect</dd></dl>

Arguments

Smoothed survival curve — .smooth_survival

<dl>

<dt>grid_width</dt>
<dd>step size</dd>


<dt>out_slam</dt>
<dd>samples from GibbsMH of the baseline hazard</dd>


<dt>beta_samples</dt>
<dd>samples from GibbsMH from the treatment effect</dd>

</dl>

.smooth_survival: Smoothed survival curve

Description

Usage

Value

Arguments