Testing Hypotheses for Effects on Survival by the Analysis of a Matched Retrospective Design

Abstract

In testing for the relation of risk factors to a particular cause of death, such as a rare disease, a longitudinal study requires the observation of many individuals for long periods of time before enough information is accrued to permit reliable statistical analysis. In the present paper, this difficulty is circumvented through the use of a matched retrospective design. In particular, tests of the hypothesis of no effect are obtained for the constant proportionality model and for a second model in which the risk factors are quantified. The asymptotic distribution of the test statistics are also derived.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA063999

Entities

People

  • Anastasios A. Tsiatis
  • Bernard Harris

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Classification
  • Covariance
  • Data Science
  • Diseases And Disorders
  • Experimental Design
  • Hypotheses
  • Information Science
  • Mathematics
  • Neoplasms
  • Probability
  • Risk Factors
  • Statistical Analysis
  • Statistics
  • Survival
  • United States
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.