A SEMI-MARKOV MODEL FOR CLINICAL TRIALS

Abstract

The theory of Semi-Markov Processes applied to the construction of a stochastic model for interpreting data obtained from clinical trials is discussed. The model characterizes the patient as being in one of a finite number of states at any given time with an arbitrary probability distribution to describe the length of stay in a state. Transitions between states are assumed to be chosen according to a stationary finite Markov chain.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1963
Accession Number
AD0407905

Entities

People

  • George H. Weiss
  • Marvin Zelen

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Chronic Diseases
  • Clinical Trials
  • Contracts
  • Disease Attributes
  • Diseases And Disorders
  • Leukemia
  • Markov Chains
  • Markov Models
  • Markov Processes
  • Mathematics
  • Neoplasms
  • Probability
  • Probability Density Functions
  • Random Variables
  • United States
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation
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