Daily Random Urinalysis Testing: Consequences of Deterrence Functions.

Abstract

This is the fifth in a series of reports concerned with developing probability models for the analysis of raodom urinalysis programs. A Markov daily testing model was developed. The distributions of the time to detection and the number of tests to detection were derived as a function of the daily testing rate and the conditional probability of testing positive. Deterrence functions are defined and examples are given. When the testing rate has no deterrent effect on drug use, the average time to detection decreases with increasing testing rates and the average number of tests to detection remains constant. When the testing rate has a deterrent effect, average time to detection can be minimized. The average number of tests to detection increases with increasing testing rates.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1995
Accession Number
ADA294816

Entities

People

  • James P. Boyle

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Detection
  • Deterrence
  • Drug Abuse
  • Drug Users
  • Equations
  • Kinetics
  • Markov Chains
  • Markov Models
  • Models
  • Naval Operations
  • Naval Personnel
  • Probabilistic Models
  • Probability
  • Random Variables
  • Stochastic Processes
  • Test And Evaluation
  • Urinalysis

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Mathematics or Statistics
  • Statistical inference.