Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints
Niansheng Tang (),
Fan Liang () and
Depeng Jiang ()
Additional contact information
Niansheng Tang: Yunnan University
Fan Liang: Yunnan University
Depeng Jiang: University of Manitoba
Computational Statistics, 2024, vol. 39, issue 4, No 18, 2157-2181
Abstract:
Abstract The non-inferiority (NI) trial is designed to show that an experimental treatment is not worse than an active reference by more than a pre-specified margin. Traditional NI trials do not include a placebo for ethical reasons; however, three-arm NI trials consisting of placebo, reference, and experimental treatment, can test the NI of experimental treatment to the reference while assessing the superiority of the reference over placebo. Assay sensitivity (AS) of a clinical trial is defined as its ability to distinguish between an effective and ineffective treatment and has been used to assess the superiority of the reference over placebo. Bayesian approaches have been predominantly used in clinical trials, particularly in NI trials. Most previous Bayesian approaches have focused on parametric priors of treatment effects. Restriction to parametric priors can mislead investigators into an inappropriate illusion of posterior certainty, leading to misleading decisions and inference. In this paper, we develop a novel semiparametric Bayesian approach to simultaneously assess NI of experimental treatment over the reference and AS of the reference over placebo in a three-arm trial with normally distributed endpoints. We use Dirichlet process priors to specify the priors of treatment effects. A Markov chain Monte Carlo algorithm is developed to calculate the posterior probability for assessing NI and AS. Simulation studies show that our proposed method is comparable to, or better than, the frequentist approach and parametric Bayesian methods in terms of the ability of controlling the type I errors and empirical statistical powers for testing NI. Data from two real trials are illustrated by the proposed methods. We recommend the usage of the proposed method in a three-arm trial.
Keywords: Assay sensitivity; Non-inferiority assessment; Normally distributed endpoints; Semiparametric Bayesian approach; Three-arm trial (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00180-023-01384-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:compst:v:39:y:2024:i:4:d:10.1007_s00180-023-01384-y
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2
DOI: 10.1007/s00180-023-01384-y
Access Statistics for this article
Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik
More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().