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A multi-treatment two stage adaptive allocation for survival outcomes

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TLDR
In this paper, a multi-treatment two-stage adaptive allocation design for survival responses is developed for noninformative random censoring, asymptotic p values of relevant tests of equality of treatment effects are used to derive the assignment probability of incoming second stage subjects.
Abstract
A multi-treatment two stage adaptive allocation design is developed for survival responses. Assuming noninformative random censoring, asymptotic p values of relevant tests of equality of treatment effects are used to derive the assignment probability of incoming second stage subjects. Several ethical and inferential criteria of the design are studied, and are compared with those of an existing competitor. Applicability and performance of the proposed design are also illustrated using a data arising from a real clinical trial.

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Journal ArticleDOI

An optimal multiarmed response adaptive design for survival outcome with independent censoring.

TL;DR: In this article, an optimal order adjusted response adaptive design for survival outcomes subject to independent random censoring is proposed, and the operating characteristics of the proposed design and the follow-up inference are studied both theoretically as well as empirically and compared with those of the competitors.
References
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Book

Nonlinear Programming: Theory and Algorithms

TL;DR: The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques.
Book

Survival Analysis: A Self-Learning Text

TL;DR: In this article, the Cox Proportional Hazards model and its characteristics are evaluated and the Stratified Cox Procedure for Time-Dependent Variables is extended for time-dependent variables.
Journal ArticleDOI

Nonlinear Programming Theory and Algorithms

Katta G Murty
- 01 Feb 2007 - 
TL;DR: Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.
Journal ArticleDOI

Bioequivalence trials, intersection-union tests and equivalence confidence sets

TL;DR: In this article, intersection-union tests are used to clarify, simplify and unify bioequivalence testing, and a test more powerful than the one currently specified by the FDA and EC guidelines is derived.
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