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Journal ArticleDOI

Adaptive two‐treatment two‐period crossover design for binary treatment responses

01 Aug 2007-Statistica Neerlandica (Blackwell Publishing Ltd)-Vol. 61, Iss: 3, pp 329-344
TL;DR: In this paper, the authors used some adaptive designs in a two-treatment two-period crossover design where the treatment responses are binary and calculated the allocation proportions to the possible treatment combinations and their standard deviations.
Abstract: Adaptive designs are sometimes used in a phase III clinical trial with the aim, of allocating a larger number of patients to the better treatment. In the present paper, we use some adaptive designs in a two-treatment two-period crossover design where the treatment responses are binary. We use some simple designs to choose between the possible treatment combinations AA, AB, BA or BB. The goal is to use the better treatment a larger proportion of times. We calculate the allocation proportions to the possible treatment combinations and their standard deviations. We also study related inferential problems. Related asymptotics are derived. The proposed procedure is compared with some possible competitors. Finally, we use real data to illustrate the applicability of our proposed design.
Citations
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Journal ArticleDOI
TL;DR: In this article, a randomized play-the-winner rule is used with a goal to allocate more patients to the better treatment in course of sampling, and the authors provide an application of this sampling scheme in repeated measurement design.
Abstract: In the clinical trial randomized play-the-winner rule is used with a goal to allocate more patients to the better treatment in course of sampling. Here we provide an application of this sampling scheme in repeated measurement design. We concentrate on the simplest set up, i.e., on two treatments and two periods. We study, both numerically and theoretically, several exact and limiting properties of this design. We consider some related inferential problems. Finally we use a real data set to illustrate the applicability of our proposed design.

5 citations


Cites methods from "Adaptive two‐treatment two‐period c..."

  • ...An attempt towards this direction on two treatments and on two periods is made by Bandyopadhyay, Biswas, and Mukherjee (2007, 2009) for correlated binary responses using a combination of randomized play-the-winner (RPW) and play-the-winner (PW) rules....

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  • ...In the present work we modify Bandyopadhyay et al. (2007, 2009) by incorporating all the available data history (corresponding to both first and second doses of the treatments) to get any future first dose allocation....

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Journal ArticleDOI
TL;DR: In this article, a nonparametric model for the analysis of the two-treatment, two-period, four-sequence crossover design was proposed and tests for the equality of treatment effects and for the absence of carryover effects were provided.
Abstract: The paper describes a nonparametric model for the analysis of the two-treatment, two-period, four-sequence crossover design. Tests for the equality of treatment effects and for the absence of carryover effects are provided. Some relevant asymptotic results of the proposed tests are obtained and compared with the existing nonparametric and parametric competitors via simulation. It is shown that the proposed tests are comparable to or better than the competitors in terms of type I error and power.

4 citations


Cites background from "Adaptive two‐treatment two‐period c..."

  • ...Moreover, for recent developments, see, for example, the works of Putt and Chinchilli (2004), Tardif, Bellavance, and Eeden (2005), Bandyopadhyay, Biswas, and Mukherjee (2007) and Kawaguchi, Koch, and Ramaswamy (2009)....

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Journal ArticleDOI
TL;DR: In this paper, a binary response model for the analysis of the two-treatment, two-period and four-sequence crossover design was proposed and two tests for the hypothesis of equality of treatment effects were provided.
Abstract: In this paper, we consider a binary response model for the analysis of the two-treatment, two-period and four-sequence crossover design. We have introduced intra-patient drug dependency parameter in the model and provide two tests for the hypothesis of equality of treatment effects. We employ Monte Carlo simulation to compare our tests and a test that works under parallel design on the basis of type I error rate and power. We find that our procedures are dominant over the competitor with respect to power. Finally, we use a data set to illustrate the applicability of our procedure.

3 citations

Journal ArticleDOI
TL;DR: In this article, an adaptive allocation rule for a two-treatment two-period crossover design in the presence of possible carryover effects was proposed, which is a combination of the play-the-winner and randomized playthewinner rules.
Abstract: In the present work, whenever the response variables are binary, we frame an adaptive allocation rule for a two-treatment two-period crossover design in the presence of possible carry-over effects. The proposed rule is a combination of the play-the-winner and randomized play-the-winner rules. We study various properties of the proposed rule through asymptotics and simulations. Some related inferential problems are also considered. The proposed procedure is compared with some possible competitor.

2 citations


Cites background or methods from "Adaptive two‐treatment two‐period c..."

  • ...[21,22] by incorporating all the available data history (corresponding to both first and second doses of the treatments) to get any future first-dose allocation....

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  • ...[21,22] for correlated binary responses using a combination of randomized play-the-winner (RPW) and play-the-winner (PW) rules....

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  • ...[21,22] studied that simple scenario under various parametric assumptions....

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Journal ArticleDOI
TL;DR: In this article, nonparametric approaches for comparing three-period, two-treatment, four-sequence crossover designs through testing the hypothesis that the treatments are interchangeable were described. The p...
Abstract: The paper describes nonparametric approaches for comparing three-period, two-treatment, four-sequence crossover designs through testing the hypothesis that the treatments are interchangeable. The p...

1 citations

References
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Journal ArticleDOI
TL;DR: In this paper, a prospective controlled randomized study of the use of extracorporeal membrane oxygenation to treat newborns with respiratory failure was carried out using the randomized play-the-winner statistical method, where the chance of randomly assigning an infant to one treatment or the other is influenced by the outcome of treatment of each patient in the study.
Abstract: A prospective controlled randomized study of the use of extracorporeal membrane oxygenation to treat newborns with respiratory failure was carried out using the "randomized play-the-winner" statistical method. In this method the chance of randomly assigning an infant to one treatment or the other is influenced by the outcome of treatment of each patient in the study. If one treatment is more successful, more patients are randomly assigned to that treatment. A group of 12 infants with birth weight greater than 2 kg met objective criteria for high mortality risk. One patient was randomly assigned to conventional treatment (that patient died); 11 patients were randomly chosen for extracorporeal membrane oxygenation (all survived). Intracerebral hemorrhage occurred in one of 11 surviving children. Extracorporeal membrane oxygenation allows lung rest and improves survival compared to conventional ventilator therapy in newborn infants with severe respiratory failure.

648 citations

Journal ArticleDOI
TL;DR: A prospective controlled randomized study of the use of extracorporeal membrane oxygenation to treat newborns with respiratory failure using the "randomized play-the-winner" statistical method, which allows lung rest and improves survival compared to conventional ventilator therapy in newborn infants with severe respiratory failure.

549 citations


"Adaptive two‐treatment two‐period c..." refers background in this paper

  • ...…apparent, in that most of the real-life adaptive clinical trials (not crossover trials) to date are either by PW (unpublished application of Zelen in a lung cancer trial, reported by Iglewicz, 1983; Rout et al., 1993) or by RPW (Bartlett et al., 1985; Tamura et al., 1994; Biswas and Dewanji, 2004)....

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  • ...For our design, we use RPW for the first treatment and build up the urn using the allocation and response history of the first period of the earlier patients....

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  • ...In this adaptive allocation scheme, while updating the RPW urn for the first time point, we did not use information about the PW outcome for the second time point....

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  • ...Wei and Durham (1978) and Wei (1979) introduced the RPW rule, a modification of Zelen’s PW rule....

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  • ...The intuitive appeal and importance of these designs are apparent, in that most of the real-life adaptive clinical trials (not crossover trials) to date are either by PW (unpublished application of Zelen in a lung cancer trial, reported by Iglewicz, 1983; Rout et al., 1993) or by RPW (Bartlett et al., 1985; Tamura et al., 1994; Biswas and Dewanji, 2004)....

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Journal ArticleDOI
TL;DR: In this article, a simple randomized treatment assignment rule is proposed and analyzed in a sequential medical trial, and on the average this rule assigns more patients to the better treatment, and it is applicable to the case where patients have delayed responses to treatments.
Abstract: In a sequential medical trial, a simple randomized treatment assignment rule is proposed and analyzed. On the average this rule assigns more patients to the better treatment, and it is applicable to the case where patients have delayed responses to treatments. This new assignment rule is studied for both a fixed sample size and an inverse stopping rule.

441 citations


Additional excerpts

  • ...Wei and Durham (1978) and Wei (1979) introduced the RPW rule, a modification of Zelen’s PW rule....

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Journal ArticleDOI
TL;DR: Investigation of the conduct of a clinical trial where the “Play the Winner Rule” (PWR) is used to assign patients to the different therapies shows that over a wide range of situations this rule leads to near optimum results when used in a two-stage manner.
Abstract: Consider a clinical trial to compare two treatments where response is dichotomous and patients enter the trial sequentially. This paper investigates the conduct of such a trial where the “Play the Winner Rule” (PWR) is used to assign patients to the different therapies. The implementation of the PWR in a clinical trial tends to place more patients on the better treatment. Both theoretical and numerical investigations show that over a wide range of situations this rule leads to near optimum results when used in a two-stage manner. Furthermore, these results are insensitive to optimum sample size requirements.

436 citations


"Adaptive two‐treatment two‐period c..." refers background in this paper

  • ...The PW rule was introduced by Zelen (1969)....

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