Multi-treatment covariate-adjusted adaptive design under informative censoring

Bandyopadhyay, Uttam; De, Saurav

doi:10.1080/02331888.2012.694443

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2016

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“…A comprehensive account of various inferential procedures under the KG model can be found in the existing literature. [25][26][27][28][29][30] Moreover, in some recent works, 19,31 covariate adjusted allocations are designed for survival outcomes assuming informative censoring models. 22 However, as earlier, if we assume that n k patients are assigned to the kth treatment arm in a nonrandomised manner, then the corresponding likelihood function can be expressed as…”

Section: Censoring Is Presentmentioning

confidence: 99%

On a class of optimal covariate-adjusted response adaptive designs for survival outcomes

Biswas

Bhattacharya

Park

2016

Stat Methods Med Res

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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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