The Asymptotic Distribution of Mortality Rates in Competing Risks Analyses,

Abstract

For a sample of individuals from an animal or human population under observation in a clinical trial or life test, mortality rates are defined for each risk to which the population is exposed. By considering only the crude risk functions and cause-specific failure rates in a basic competing risks model, these mortality rates are shown to have an asymptotic normal distribution. An expression for the asymptotic correlation between a pair of mortality rates is thus obtained and a necessary and sufficient condition for their asymptotic independence is investigated in some general situations with reference to only the cause-specific failure rates and the survival function of the individuals. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA078948

Entities

People

  • Joseph C. Gardiner

Organizations

  • Michigan State University

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Clinical Trials
  • Data Science
  • Distribution Functions
  • Human Population
  • Information Science
  • Life Tests
  • Normal Distribution
  • Observation
  • Probability
  • Probability Density Functions
  • Random Variables
  • Risk
  • Statistical Samples
  • Statistics
  • Stochastic Processes
  • Survival

Fields of Study

  • Mathematics

Readers

  • Aviation Safety Risk Assessment.
  • Statistical inference.
  • Trauma or Military Medicine