Kooperativer Bibliotheksverbund

Berlin Brandenburg


Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

  • 1
    In: Journal of the Royal Statistical Society: Series A (Statistics in Society), October 2011, Vol.174(4), pp.975-989
    Description: Bacterium causes genital chlamydia infection. Yet little is known about the efficiency of transmission of this organism. Ethical constraint against exposing healthy subjects to infected partners precludes the possibility of quantifying the risk of transmission through controlled experiments. This research proposes an alternative strategy that relies on observational data. Specifically, we present a stochastic model that treats longitudinally observed states of infection in a group of young women as a Markov process. The model proposed explicitly accommodates the parameters of transmission, including per‐encounter sexually transmitted infection acquisition risks, with and without condom protection, and the probability of antibiotic treatment failure. The male‐to‐female transmission probability of is then estimated by combining the per‐encounter disease acquisition risk and the organism's prevalence in the male partner population. The model proposed is fitted in a Bayesian computational framework.
    Keywords: Bacterial Infection ; Binary Outcome ; Longitudinal Study ; Markov Chain Monte Carlo Methods ; Markov Model ; Observational Data ; Transmission Probability
    ISSN: 0964-1998
    E-ISSN: 1467-985X
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages