Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
Zhi Cao, Pavel Mozgunov, Haiyan Zheng · 2026
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Description
Zhi Cao and co-authors model two outcomes at once in a 2026 biostatistics paper on basket trials. A basket trial tests one drug across several patient subgroups sharing a mutation, and while early trials chase efficacy, safety monitoring cannot pause, yet the two are usually analyzed separately.
Their Bayesian hierarchical models judge toxicity and efficacy jointly, letting subgroups borrow strength from each other while allowing either outcome, both, or neither to be the shareable one. A correlation parameter links the paired effects. Simulations showed sturdier performance and better power than separate analyses, especially when only one of the two outcomes truly behaves alike across subgroups.
Catalog record
| CREATOR | Zhi Cao, Pavel Mozgunov, Haiyan Zheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |