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M9490021.TXT
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1994-09-03
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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).