Article

A Bayesian adaptive design for two-stage clinical trials with survival data.

Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019, India.
Lifetime Data Analysis (impact factor: 0.92). 11/2009; 15(4):468-92. DOI:10.1007/s10985-009-9134-4
Source: PubMed

ABSTRACT A randomized two-stage adaptive Bayesian design is proposed and studied for allocation and comparison in a phase III clinical trial with survival time as treatment response. Several exact and limiting properties of the design and the follow-up inference are studied, both numerically and theoretically, and are compared with a single-stage randomized procedure. The applicability of the proposed methodology is illustrated by using some real data.

0 0
 · 
0 Bookmarks
 · 
71 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

follow-up inference
 
phase III clinical trial
 
proposed methodology
 
randomized two-stage adaptive Bayesian design
 
single-stage randomized procedure
 
survival time
 

Uttam Bandyopadhyay