Exact Significance Testing with Biased Coin Randomization.

Abstract

For a clinical trial where two treatments have been assigned sequentially to patients via Efron's (1971) biased coin design, a recursion procedure is derived for obtaining the exact randomization distribution of a class of test statistics. This enables one to perform exact significance tests of the hypothesis of no treatment difference. The randomization distribution of the statistic is conditional on the imbalance of the treatment allocation. It is illustrated that if the analysis is performed as if complete randomization was used, conservative and anticonservative errors can be incurred. The applicability of the test to censored data is also discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA172030

Entities

People

  • Edsel Pena
  • Myles Hollander

Organizations

  • Florida State University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Artificial Intelligence
  • Clinical Trials
  • Computer Simulations
  • Computers
  • Data Science
  • Information Science
  • Markov Chains
  • Mathematics
  • Probability
  • Random Variables
  • Random Walk
  • Sequences
  • Simulations
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.