A Non-parametric Analysis of Morbidity/Mortality Data

Abstract

The joint distribution of the time-to-onset of disease and the time-to-death is estimated using nonparametric methods. A wide variety of censoring patterns for both times-to-event are accommodated. The Estimation Maximization (EM) algorithm is used to obtain maximum likelihood estimates of joint probabilities. The covariance matrix for the estimates is also estimated. The methodology is demonstrated with an example derived from an epidemiological study.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1998
Accession Number
ADA363920

Entities

People

  • Daniel Mihalko
  • Joel E. Michalek

Organizations

  • Western Michigan University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Covariance
  • Data Analysis
  • Data Science
  • Data Sets
  • Information Science
  • Knowledge Management
  • Morbidity
  • Parametric Analysis
  • Probability
  • Probability Distributions
  • Statistical Algorithms
  • Statistics
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Trauma or Military Medicine