Document 0630
 DOCN  M9460630
 TI    Analysis of infectious disease data from partner studies with unknown
       source of infection.
 DT    9404
 AU    Magder L; Brookmeyer R; Department of Biostatistics, Johns Hopkins
       University, Baltimore,; Maryland 21205.
 SO    Biometrics. 1993 Dec;49(4):1110-6. Unique Identifier : AIDSLINE
       MED/94162483
 AB    Partner studies are useful for estimating the transmission probabilities
       of infectious diseases. However, it is often not known which partner was
       the source of the infection (the index case). The objective of this
       paper is to develop statistical methods for analyzing partner studies
       when it is uncertain which partners acquired the infection from sources
       outside the partnership. The approach involves simultaneously modelling
       the probability of acquisition of infection from outside the
       partnership, and the probability of transmission within the partnership
       as a function of covariates. An EM algorithm is presented. Efficiency
       and simulation results are given in some special situations involving
       heterosexual transmission studies. In heterosexual partner studies, the
       methods depend crucially on the availability of a covariate that
       provides information about which partner was the likely source of
       infection.
 DE    Algorithms  Analysis of Variance  Biometry/*METHODS  Data
       Interpretation, Statistical  Female  Human  HIV
       Infections/EPIDEMIOLOGY/TRANSMISSION  Male  Models, Statistical  Sex
       Behavior  *Sexual Partners  Sexually Transmitted
       Diseases/*EPIDEMIOLOGY/*TRANSMISSION  Support, U.S. Gov't, P.H.S.
       JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
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