A study of the performance of 2-stage adaptive optimal designs in a logistic dose-response model

Karabi Nandy, Rajesh Ranjan Nandy

Research output: Contribution to journalArticle

Abstract

It is well-known that optimal designs for logistics regression models depend on the unknown parameter values. In practice, guess values are used as proxies. Thus the actual design implemented is a pseudo optimal design. In this article, we assess whether this problem in optimality from ill-guessed parameter values can be improved by a 2-stage optimal design. We examine the optimal allocation of resources to each stage and how the 2-stage optimal design compares to the single-stage pseudo optimal design for various departures of the guess values from the true parameter values. We restrict our study to A- and D-optimality.

Original languageEnglish
Pages (from-to)1118-1141
Number of pages24
JournalCommunications in Statistics: Simulation and Computation
Volume49
Issue number5
DOIs
StatePublished - 3 May 2020

Keywords

  • 2-Stage design
  • A-optimality
  • D-optimality
  • Dose-response model
  • Information matrix
  • Logistic regression model

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