Document 0021
 DOCN  M9490021
 TI    Multi-state Markov models for analysing incomplete disease history data
       with illustrations for HIV disease.
 DT    9411
 AU    Gentleman RC; Lawless JF; Lindsey JC; Yan P; Department of Mathematics
       and Statistics, University of Auckland,; New Zealand.
 SO    Stat Med. 1994 Apr 30;13(8):805-21. Unique Identifier : AIDSLINE
       MED/94323603
 AB    Multi-state Markov models can be useful in analysing disease history
       data. We apply the general estimation methods of Kalbfleisch and Lawless
       to panel data in which individuals are viewed over only a portion of
       their life history and complete information about transition times
       between states is unavailable. Methods to assess goodness-of-fit are
       proposed. To illustrate the methods, we consider models of HIV disease
       relating important immunological marker measurements to the onset of
       AIDS.
 DE    Acquired Immunodeficiency Syndrome/*IMMUNOLOGY  Adult  Biological
       Markers  Bisexuality  Follow-Up Studies  Homosexuality  Human  HIV
       Infections/*IMMUNOLOGY  HIV Seropositivity/IMMUNOLOGY  IgA/*ANALYSIS
       *Leukocyte Count  *Markov Chains  Medical History Taking/*STATISTICS &
       NUMER DATA  Models, Statistical  Support, Non-U.S. Gov't  Support, U.S.
       Gov't, P.H.S.  T4 Lymphocytes/*IMMUNOLOGY  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).