Therapeutic Equivalence Using a Rich Family of Prior Distributions
Karan P. Singh
Additional contact information
Karan P. Singh: University of Alabama at Birmingham, Department of Biostatistics School of Public Health
A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 315-322 from Springer
Abstract:
Abstract Therapeutic Equivalence in some contexts occurs when functions of parameters such as differences or ratios lie within some specified confidence region. A specific class of parametric discrepancy measures is examined. One then applies the Bayesian neighborhood null hypothesis theory to derive posterior confidence regions on these measures. Data from a leukemia clinical trial is used to demonstrate conditions under which equivalent survival benefit of two treatments is achieved. All results are derived numerically with conditions under which the posterior distributions approximate standard F-ratios. The achieved goal is that of establishing therapeutic equivalence using a rich family of prior distributions.
Keywords: Prior Distribution; Posterior Density; Under Sampling; Rich Family; Prior Structure (search for similar items in EconPapers)
Date: 1996
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_41
Ordering information: This item can be ordered from
http://www.springer.com/9781475756548
DOI: 10.1007/978-1-4757-5654-8_41
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().