RAHUL BHATTACHARYA

Statistics

A BISWAS

U BANDYOPADHYAY

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics

Response-Adaptive Designs in Phase III Clinical Trials

In the present work, we develop a two-stage allocation rule for binary response using the log-odds ratio within the Bayesian framework allowing the current allocation to depend on the covariate value of the current subject. We study, both numerically and theoretically, several exact and limiting properties of this design. The applicability of the proposed methodology is illustrated by using some data set. We compare this rule with some of the existing rules by computing various performance measures. Copyright © 2007 John Wiley &amp; Sons, Ltd.

Statistics in Medicine

A covariate adjusted two-stage allocation design for binary responses in randomized clinical trials

In clinical trials, adaptive designs are sometimes used to force imbalance in allocation between two or more competitive treatments. Existing works are mostly based on dichotomous or polychotomous responses. In the present work, assuming that the responses are continuous variables, we investigate a two-treatment allocation scheme based on Wilcoxon-Mann-Whitney scores. The proposed scheme is used to provide two nonparametric test procedures for identity of two univariate continuous populations against location alternatives. Again, we give an exactly distribution free solution for generalized Behrens-Fisher problem. © 2003 Elsevier B.V. All rights reserved.

Journal of Statistical Planning and Inference

An adaptive allocation for continuous response using Wilcoxon-Mann-Whitney score

Adaptive designs are often used in clinical trials to force balance in sequential allocation of patients between two or more competitive treatments. Sometimes, from ethical considerations, the goal may be to allocate a larger number of patients to the better treatment in the course of the trial. In the present paper we consider patients who are heterogeneous with respect to some prognostic factors and assume that the response from each patient is a continuous variable. We consider a normal linear model and provide an allocation design with due attention to the prognostic factors. The loss of efficiency incurred by using a balanced design is also indicated. Issues of inference based on adaptive allocation are also discussed. Finally a guideline is provided for the appropriate choice of the design parameters. © 2001 Biometrika Trust.

Journal	Data powered by TypesetStatistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
Publisher	Data powered by TypesetWiley Blackwell
Open Access	No