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Relative-risk ratio was a useful measure of differential association in cohort and case-series studies.

Abstract：

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 "RR(c)" is the ratio of the relative risks pertaining to each type of event. The estimated RR(c) 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 RR(c) is proposed in terms of an odds ratio, which parallels a similar association measure defined in cross-sectional studies ("OR(c)"). The estimated value of the RR(c) agrees with the OR(c) reported in previous studies. CONCLUSION:The RR(c) 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.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Hocine MN,Tubert-Bitter P,Moreau T,Chavance M,Varon E,Guillemot D

doi

10.1016/j.jclinepi.2006.07.014

subject

Has Abstract

pub_date

2007-04-01 00:00:00

pages

361-5

issue

4

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(06)00395-7

journal_volume

60

pub_type

杂志文章

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