.glmFit

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

.glmFit function

<dl><dt>df</dt>
<dd>Data frame with time-to-event, censoring indicator and covariates</dd></dl>

Arguments

Fit frequentist piecewise exponential model for MLE and information matrix of beta — .glmFit

<dl>

<dt>df</dt>
<dd>Data frame with time-to-event, censoring indicator and covariates</dd>

</dl>

.glmFit: Fit frequentist piecewise exponential model for MLE and information matrix of beta

Description

Usage

Value

Arguments