tipmap-package: tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

tipmap-packageR Documentation

tipmap: Tipping Point Analysis for Bayesian Dynamic Borrowing

Description

Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Mainly an implementation of an approach proposed by Best and colleagues (2021) is provided doi: 10.1002/pst.2093. Further functions facilitate the specification of the robust MAP prior via expert elicitation (using the roulette method) and computation of the posterior distribution of the treatment effect with either fixed or stochastic expert-elicited weights. Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.

Author(s)

Maintainer: Christian Stock christian.stock@boehringer-ingelheim.com (ORCID)

Authors:

  • Morten Dreher

Other contributors:

  • Emma Torrini [contributor]


tipmap documentation built on Dec. 8, 2022, 1:13 a.m.