Multiple State Models with Covariates: Analysis and Simulation.

Abstract

The research reported in this document deals with a multiple state, staged failure phenonmenon with state specific covariates characteristic of the states. Different types of censoring was taken into consideration. The classical maximum likelihood estimation is compared with Cox's partial likelihood estimation for efficiency, since maximum likelihood estimation of covariate effects depends on the baseline failure rate, while partial likelihood estimation does not. Results of analysis as well as simulation are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1983
Accession Number
ADA127439

Entities

People

  • V. K. Murthy

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Blood Transfusions
  • California
  • Clinical Trials
  • Data Science
  • Databases
  • Differential Equations
  • Diseases And Disorders
  • Efficiency
  • Engineering
  • Equations
  • Information Science
  • Markov Processes
  • Maximum Likelihood Estimation
  • Simulations
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Statistical inference.