Heterosexual transmission of HIV analysed by generalized estimating equations

Heterosexual transmission of HIV analysed by generalized estimating equations

A longitudinal analysis of a partner study is compared with a cross-sectional analysis which identify behavioural and biological risk factors for heterosexual transmission of HIV. Using generalized estimating equations (GEEs) a random effects logistic model is used for the longitudinal analysis. The...

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Bibliographic Details
Published in:Statistics in medicine Vol. 14; no. 12; p. 1365
Main Authors: Fielding, K L, Brettle, R P, Gore, S M, O'Brien, F, Wyld, R, Robertson, J R, Weightman, R
Format: Journal Article
Language:English
Published: England 30-06-1995
Subjects:
Adolescent
Adult
CD4 Lymphocyte Count
Cross-Sectional Studies
Female
HIV Infections - epidemiology
HIV Infections - transmission
Humans
Logistic Models
Longitudinal Studies
Male
Middle Aged
Risk Factors
Scotland
Sexual Behavior
Sexual Partners
Scotland
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Summary:A longitudinal analysis of a partner study is compared with a cross-sectional analysis which identify behavioural and biological risk factors for heterosexual transmission of HIV. Using generalized estimating equations (GEEs) a random effects logistic model is used for the longitudinal analysis. These approaches are illustrated by the Edinburgh heterosexual partner study. The longitudinal analysis finds that 'high-risk' sexual practices, unprotected intercourse for HIV and a low CD4 count in the index case significantly increase the risk of HIV transmission. The cross-sectional analysis, however, only indicates 'high-risk' sexual practices as favourable for HIV transmission.
ISSN:0277-6715
DOI:10.1002/sim.4780141209