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Drop-the-loser design in the presence of covariates

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Abstract

In the present work we develop a randomized two-treatment adaptive allocation design with covariates ensuring smaller variability of treatment allocations. We study, both numerically and theoretically, several exact and limiting properties of the design and consider an inferential problem following the allocation design. We compare the design with some of the existing allocation designs by computing its various performance measures.

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Authors and Affiliations

  1. Department of Statistics, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700 019, India

    Uttam Bandyopadhyay

  2. Applied Statistics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata, 700 108, India

    Atanu Biswas

  3. Department of Statistics, Asutosh College, 92 S.P.Mukherjee Road, Kolkata, 700 026, India

    Rahul Bhattacharya

Authors
  1. Uttam Bandyopadhyay
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  2. Atanu Biswas
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  3. Rahul Bhattacharya
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Correspondence to Uttam Bandyopadhyay.

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Bandyopadhyay, U., Biswas, A. & Bhattacharya, R. Drop-the-loser design in the presence of covariates. Metrika 69, 1–15 (2009). https://doi.org/10.1007/s00184-008-0170-y

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  • DOI: https://doi.org/10.1007/s00184-008-0170-y

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