MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908370757222400 |
|---|---|
| author | Lyu, Jiaying Zhou, Tianjian Yuan, Shijie Guo, Wentian Ji, Yuan |
| author_facet | Lyu, Jiaying Zhou, Tianjian Yuan, Shijie Guo, Wentian Ji, Yuan |
| contents | We propose a multiple cohort expansion (MUCE) approach as a design or analysis method for phase 1b multiple expansion cohort trials, which are novel first-in-human studies conducted following phase 1a dose escalation. The MUCE design is based on a class of Bayesian hierarchical models that adaptively borrow information across arms. Statistical inference is directly based on the posterior probability of each arm being efficacious, facilitating the decision making that decides which arm to select for further testing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2006_07785 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials Lyu, Jiaying Zhou, Tianjian Yuan, Shijie Guo, Wentian Ji, Yuan Methodology Applications We propose a multiple cohort expansion (MUCE) approach as a design or analysis method for phase 1b multiple expansion cohort trials, which are novel first-in-human studies conducted following phase 1a dose escalation. The MUCE design is based on a class of Bayesian hierarchical models that adaptively borrow information across arms. Statistical inference is directly based on the posterior probability of each arm being efficacious, facilitating the decision making that decides which arm to select for further testing. |
| title | MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials |
| topic | Methodology Applications |
| url | https://arxiv.org/abs/2006.07785 |