Effect of Misspecification on a Multi Treatment Two Stage Adaptive Design for Survival Outcomes

Soumyadeep Das; Rahul Bhattacharya

doi:10.3329/ijss.v24i20.78215

Effect of Misspecification on a Multi Treatment Two Stage Adaptive Design for Survival Outcomes

Authors

Soumyadeep Das Department of Statistics, Bidhannagar College, EB-2, Sector 1, Salt Lake City, Kolkata – 700 064, India
Rahul Bhattacharya Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata – 700 019, India

DOI:

https://doi.org/10.3329/ijss.v24i20.78215

Keywords:

Clinical Trials, Two Stage Allocation, Random Censoring, Model misspecification

Abstract

Multi-treatment two stage adaptive design for survival responses is generally developed under different assumptions. In this work, we explore the performance of such a design when the assumptions are violated. As a choice of design, we consider a specific design of Bhattacharya and Shome (2019), which uses random censoring, exponential response, Koziol-Green model (Koziol and Green, 1976), etc. Several ethical and inferential criteria of the design are studied under model misspecification for different parameter configurations as well as for a data arising from a real clinical trial.

IJSS, Vol. 24(2) Special, December, 2024, pp 67-79

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Published

2024-12-23

How to Cite

Das, S., & Bhattacharya, R. (2024). Effect of Misspecification on a Multi Treatment Two Stage Adaptive Design for Survival Outcomes. International Journal of Statistical Sciences , 24(20), 67–79. https://doi.org/10.3329/ijss.v24i20.78215