Sequential Models for Clinical Trials

Abstract

This paper presents a model, variations of which have been considered by Anscombe [1] and Colton [4] and others, which is relevant to the problem of sequential testing in clinical trials. This model is the same as one discussed by Chernoff and Ray [3] and by Wurtele [7] in a sampling inspection problem and is naturally related to a one armed bandit problem. The object of this paper is to demonstrate that techniques exist for dealing with some of the technical problems raised by these and similar models. A few of the insights derived from the results on the one armed bandit problem will be described in terms of nominal significance levels corresponding to the rejection of a new drug. The model is oversimplified for many practical applications. Alternative models, including a two armed bandit problem are described. An important element in most of these models is the horizon consisting of the total number of anticipated patients to be treated.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 07, 1966
Accession Number
AD1027652

Entities

People

  • Herman Chernoff

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Boundaries
  • California
  • Clinical Trials
  • Data Science
  • Information Science
  • Inspection
  • Military Research
  • Normal Distribution
  • Probability
  • Random Variables
  • Sampling
  • Scientific Research
  • Specifications
  • Standards
  • Universities

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Statistical inference.
  • Systems Analysis and Design