Hocine, M. N.; Tubert-Bitter, P.; Moreau, T.; Chavance, M.; Varon, E. and Guillemot, D.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1016/j.jclinepi.2006.07.014|
|Google Scholar:||Look up in Google Scholar|
Objective: The framework consists of cohort or case-series studies with intermittent exposure and two types of events. The aim is to define and estimate an association measure between the exposure and the occurrence of one type of event rather than the other. Study Design and Setting: The model and the estimation method are obtained by extending Farrington's approach for one type of recurrent event. The proposed association measure “RRc” is the ratio of the relative risks pertaining to each type of event. The estimated RRc and its confidence interval are derived under the independence assumption between the counts of the two types of events. The data that are analyzed are part of the data of a study on antimicrobial resistance in children. Results: An interpretation of the RRc is proposed in terms of an odds ratio, which parallels a similar association measure defined in cross-sectional studies (“ORc”). The estimated value of the RRc agrees with the ORc reported in previous studies. Conclusion: The RRc appears as a useful tool for evaluating the risk of colonization (or infection) with resistant rather than susceptible bacteria following a previous intake of a given antibiotic conditional on colonization (or infection) with any bacteria.
|Item Type:||Journal Article|
|Copyright Holders:||2007 Elsevier Inc.|
|Keywords:||relative risk; bivariate counts; case-series; conditional likelihood; antimicrobial resistance; pneumococci|
|Academic Unit/Department:||Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
|Depositing User:||Sarah Frain|
|Date Deposited:||19 Aug 2010 12:03|
|Last Modified:||15 Jan 2016 14:02|
|Share this page:|