We introduce a principled method for Bayesian subgroup analysis. The approach is based on casting subgroup analysis as a Bayesian decision problem. The two main innovations are: (1) the explicit consideration of a "subgroup report," comprising multiple subpopulations; and (2) adapting an inhomogeneous Markov chain Monte Carlo simulation scheme to implement stochastic optimization. The latter makes the search for "subgroup reports" practically feasible.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/sim.8755 | DOI Listing |
Publication Analysis
Top Keywords
stochastic optimization
8
subgroup analysis
8
bayesian decision-theoretic
4
decision-theoretic methods
4
methods survival
4
survival data
4
data stochastic
4
optimization introduce
4
introduce principled
4
principled method
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!