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Madhumita Shome

Bio: Madhumita Shome is an academic researcher. The author has contributed to research in topics: Score test & Censoring (clinical trials). The author has an hindex of 1, co-authored 4 publications receiving 7 citations.

Papers
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Journal ArticleDOI
TL;DR: A randomized two treatment allocation design, conducted in two stages, is proposed for a class of continuous response trials and relevant properties of the proposed allocation design are investigated and compared with suitable competitors.
Abstract: A randomized two treatment allocation design, conducted in two stages, is proposed for a class of continuous response trials. Patients are assigned to each treatment in equal numbers in the first stage and p value of a test of equality of treatment effects based on these data is used to determine the assignment probability of second stage patients. Relevant properties of the proposed allocation design are investigated and compared with suitable competitors.

4 citations

Journal ArticleDOI
TL;DR: A class of adaptive designs is formulated in two stages for clinical trials to favour the better performing treatment for further allocation in an efficient way and compare with the existing allocation designs.
Abstract: A class of adaptive designs is formulated in two stages for clinical trials to favour the better performing treatment for further allocation in an efficient way. The first stage of the allocation consists in randomizing subjects to each treatment arm with equal probability and performing a test of equality of treatment effects. The resulting p value and the available estimate of a treatment difference measure is used to assign the incoming second stage subjects. Considering binary and normal responses, several exact and asymptotic properties of the proposed allocation are thoroughly examined and compared with the existing allocation designs.

1 citations

Journal ArticleDOI
TL;DR: 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.

1 citations

Journal ArticleDOI
TL;DR: In this article, an adaptive two-stage allocation design for survival responses subject to independent informative censoring is developed for survival response subject to adaptive censoring, where the asymptotic p value of a score test related to a hypothesis of treatment effectiveness is used to set the assignment probability of the second stage.
Abstract: An adaptive two-stage allocation design is developed for survival responses subject to independent informative censoring. The asymptotic p value of a score test related to a hypothesis of treatment effectiveness is used to set the assignment probability of the second stage. Several characteristics of the design and the follow-up inference are studied, both numerically and theoretically, and are compared with those of an existing competitor. Applicability of the proposed design is also illustrated through a real data.

1 citations


Cited by
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01 Jan 1996

1,282 citations

Journal ArticleDOI
TL;DR: A class of adaptive designs is formulated in two stages for clinical trials to favour the better performing treatment for further allocation in an efficient way and compare with the existing allocation designs.
Abstract: A class of adaptive designs is formulated in two stages for clinical trials to favour the better performing treatment for further allocation in an efficient way. The first stage of the allocation consists in randomizing subjects to each treatment arm with equal probability and performing a test of equality of treatment effects. The resulting p value and the available estimate of a treatment difference measure is used to assign the incoming second stage subjects. Considering binary and normal responses, several exact and asymptotic properties of the proposed allocation are thoroughly examined and compared with the existing allocation designs.

1 citations

Journal ArticleDOI
TL;DR: 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.

1 citations

Journal ArticleDOI
TL;DR: In this article, an adaptive two-stage allocation design for survival responses subject to independent informative censoring is developed for survival response subject to adaptive censoring, where the asymptotic p value of a score test related to a hypothesis of treatment effectiveness is used to set the assignment probability of the second stage.
Abstract: An adaptive two-stage allocation design is developed for survival responses subject to independent informative censoring. The asymptotic p value of a score test related to a hypothesis of treatment effectiveness is used to set the assignment probability of the second stage. Several characteristics of the design and the follow-up inference are studied, both numerically and theoretically, and are compared with those of an existing competitor. Applicability of the proposed design is also illustrated through a real data.

1 citations

Journal ArticleDOI
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.
Abstract: Compromising ethics and precision in the context of a multiarmed clinical trial, an optimal order adjusted response adaptive design is proposed for survival outcomes subject to independent random censoring. The operating characteristics of the proposed design and the follow-up inference are studied both theoretically as well as empirically and are compared with those of the competitors. Applicability of the developed design is further illustrated through redesigning a real clinical trial with survival responses.