Modeling markers of disease progression by a hidden Markov process: application to characterizing CD4 cell decline.

Volume: 56, Issue: 3, Pages: 733 - 741
Published: Sep 1, 2000
Abstract
Multistate models have been increasingly used to model natural history of many diseases as well as to characterize the follow-up of patients under varied clinical protocols. This modeling allows describing disease evolution, estimating the transition rates, and evaluating the therapy effects on progression. In many cases, the staging is defined on the basis of a discretization of the values of continuous markers (CD4 cell count for HIV...
Paper Details
Title
Modeling markers of disease progression by a hidden Markov process: application to characterizing CD4 cell decline.
Published Date
Sep 1, 2000
Journal
Volume
56
Issue
3
Pages
733 - 741
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.