Assortative mixing as a source of bias in epidemiological studies of sexually transmitted infections: the case of smoking and human papillomavirus

Lemieux-Mellouki, PPLemieux-MelloukiDrolet, MMDroletBrisson, JJBrissonFranco, ELELFrancoBoily, M-CM-CBoilyBaussano, IIBaussanoBrisson, MMBrisson2016-08-042016-11-012015-11-20Epidemiology and Infection, 2015, 144 (7), pp.1490-14991469-4409http://hdl.handle.net/10044/1/38586The final publication is available via Cambridge Journals Online at http://dx.doi.org/10.1017/S0950268815002915Science & TechnologyLife Sciences & BiomedicinePublic, Environmental & Occupational HealthInfectious DiseasesEpidemiologyhuman papilloma virus (HPV)mathematical modelling sexually transmitted infections (STIs)ORAL HPV INFECTIONRISK-FACTORSUNITED-STATESCIGARETTE-SMOKINGYOUNG-WOMENPREVALENCETRANSMISSIONPOPULATIONDISEASESDETERMINANTSmathematical modellingsexually transmitted infections (STIs)1117 Public Health And Health ServicesAssortative mixing as a source of bias in epidemiological studies of sexually transmitted infections: the case of smoking and human papillomavirusJournal Articlehttps://www.dx.doi.org/10.1017/S0950268815002915