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Updated: May 2, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
On a class of optimal covariate-adjusted response adaptive designs for survival outcomes
Atanu Biswas1, Rahul Bhattacharya2, Eunsik Park3
1Applied Statistics Unit, Indian Statistical Institute, India atanu@isical.ac.in.
Abstract:
A class of optimal covariate-adjusted response adaptive procedures is developed for phase III clinical trials when the treatment response is a survival time and there is random censoring. The basic aim is to develop an allocation design by combining the ethical aspects with statistical precision in a reasonable way under the presence of covariate information. Considering minimisation of total hazards as the ethical requirement, the proposed procedure is assessed in terms of the assignment to the better treatment and the efficiency (i.e. power) to detect a small departure in treatment effectiveness. The applicability of the proposed methodology is also illustrated using a real data set.
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