A multistate approach for estimating the incidence of human immunodeficiency virus by using data from a prevalent cohort study

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Summary. 

Cohort studies of individuals infected with the human immunodeficiency virus (HIV) provide useful information on the past pattern of HIV diagnoses, progression of the disease and use of antiretroviral therapy. We propose a new method for using individual data from an open prevalent cohort study to estimate the incidence of HIV, by jointly modelling the HIV diagnosis, the inclusion in the cohort and the progression of the disease in a Markov model framework. The estimation procedure involves the construction of a likelihood function which takes into account the probability of observing the total number of subjects who are enrolled in the cohort and the probabilities of passage through the stages of disease for each observed subject conditionally on being included in the cohort. The estimator of the HIV infection rate is defined as the function which maximizes a penalized likelihood, and the solution of this maximization problem is approximated on a basis of cubic M-splines. The method is illustrated by using cohort data from a hospital-based surveillance system of HIV infection in Aquitaine, a region of south-western France. A simulation study is performed to study the ability of the model to reconstruct the incidence of HIV from prevalent cohort data.

Keywords: Human immunodeficiency virus incidence; Incomplete observations; Likelihood; Markov processes; Multistate models

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1467-9876.2005.00514.x

Affiliations: Institut de Santé Publique, d'Epidémiologie et de Développement–Université Victor Segalen, Bordeaux, France

Publication date: August 1, 2005

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more