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Locally optimal designs for mixed binary and continuous responses

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  • Kim, Soohyun
  • Kao, Ming-Hung

Abstract

We consider locally optimal designs for experiments involving bivariate responses of mixed data types. To efficiently obtain optimal designs, we adapt a recently proposed complete class approach and derive sharp bounds for the number of design points of candidate designs.

Suggested Citation

  • Kim, Soohyun & Kao, Ming-Hung, 2019. "Locally optimal designs for mixed binary and continuous responses," Statistics & Probability Letters, Elsevier, vol. 148(C), pages 112-117.
    • Handle: RePEc:eee:stapro:v:148:y:2019:i:c:p:112-117
    DOI: 10.1016/j.spl.2019.01.003
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    References listed on IDEAS

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    1. K Schorning & H Dette & K Kettelhake & W K Wong & F Bretz, 2017. "Optimal designs for active controlled dose-finding trials with efficacy-toxicity outcomes," Biometrika, Biometrika Trust, vol. 104(4), pages 1003-1010.
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    Cited by:

    1. Kao, Ming-Hung & Khogeer, Hazar, 2021. "Optimal designs for mixed continuous and binary responses with quantitative and qualitative factors," Journal of Multivariate Analysis, Elsevier, vol. 182(C).

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    1. Kao, Ming-Hung & Khogeer, Hazar, 2021. "Optimal designs for mixed continuous and binary responses with quantitative and qualitative factors," Journal of Multivariate Analysis, Elsevier, vol. 182(C).

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