Sequential Search of an Optimal Dosage: Some Preliminary Results and Suggested Areas for Further Research

Abstract

Sequential search procedures are described for determining an optimal dosage in the following biomedical problem. People are subjected to a certain chemotheraputic treatment and on the one hand it is desirable to give each individual the maximal possible dosage. On the other hand, high doses create undesirable toxicity, and it is undesirable to cross a certain limit of allowable toxicity level. The optimal dosage is defined as the maximal dose for which the proportion of patients in the population whose toxicity level will not cross the allowable limit is gamma. In the present paper the authors discuss Bayesian and non-Bayesian sequential procedures for the optimal dosage, assuming a linear regression between toxicity and dosage, and normal conditional distribution of the toxicity level at each dose, with a known variance.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1972
Accession Number
AD0742447

Entities

People

  • Benjamin H. Eichhorn
  • Shelemyahu Zacks

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Confidence Limits
  • Consistency
  • Convergence
  • Data Science
  • Governments
  • Guarantees
  • Information Science
  • Military Research
  • Normal Distribution
  • Probability
  • Random Variables
  • Sequences
  • Three Dimensional
  • Toxicity
  • United States
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.
  • Toxicology/Environmental Toxicology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology