title: Testing independence between two Poisson-generated multinomial variables in case-series and cohort studies.
abstract: In case-series or cohort studies, we propose a test of independence between the occurrences of two types of recurrent events (such as two repeated infections) related to an intermittent exposure (such as an antibiotic treatment). The test relies upon an extension of a recent method for analysing case-series data, in the presence of one type of recurrent event. The test statistic is derived from a bivariate Poisson generated-multinomial distribution. Simulations for checking the validity of the test concerning the type I error and the power properties are presented. The test is illustrated using data from a cohort on antibiotics bacterial resistance in schoolchildren.
authors.affiliation: Institut National de la Santé Et de la Recherche Médicale, Unité 472, Villejuif, France. hocine@vjf.inserm.fr
authors.forename: Mounia
authors.initials: M
authors.lastname: Hocine
authors.forename: Didier
authors.initials: D
authors.lastname: Guillemot
authors.forename: Pascale
authors.initials: P
authors.lastname: Tubert-Bitter
authors.forename: Thierry
authors.initials: T
authors.lastname: Moreau
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D005602:France; D006801:Humans; D010608:Pharyngeal Diseases / Q000188:drug therapy; D016012:Poisson Distribution; D013296:Streptococcus pneumoniae / Q000187:drug effects / Q000254:growth & development; D047090:beta-Lactams / Q000494:pharmacology
chemical_list: D000900:Anti-Bacterial Agents; D047090:beta-Lactams